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Robots are still limited to controlled conditions, that the robot designer knows with enough details to endow the robot with the appropriate models or behaviors.
The hippocampus as a spatial map: preliminary evidence from unit activity in the freely-moving rat
John O’Keefe and Jonathan Dostrovsky · 1971
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Made-up minds: a constructivist approach to artificial intelligence
Gary L Drescher · 1991
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Dyna, an integrated architecture for learning, planning, and reacting
Richard S Sutton · 1991
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Beyond modularity: A developmental approach to cognitive science
Annette Karmiloff-Smith · 1992
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Reactivation of hippocampal ensemble memories during sleep
Matthew A Wilson and Bruce L McNaughton · 1994
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Noise and the reality gap: The use of simulation in evolutionary robotics
Nick Jakobi, Phil Husbands, and Inman Harvey · 1995
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The nature of life
Mark A. Bedau · 1996
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Introduction to reinforcement learning
Richard S Sutton and Andrew G Barto · 1998
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Lifelong learning algorithms
Sebastian Thrun · 1998
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Emerging minds: The process of change in children’s thinking
Robert S Siegler · 1998
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Affordances. motivations, and the world graph theory
Alex Guazzelli, Mihail Bota, Fernando J Corbacho, and Michael A Arbib · 1998
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The basal ganglia and chunking of action repertoires
Ann M Graybiel · 1998
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Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning
Richard S Sutton, Doina Precup, and Satinder Singh · 1999
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The basal ganglia: a vertebrate solution to the selection problem?
Peter Redgrave, Tony J Prescott, and Kevin Gurney · 1999
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Spatial cognition and neuro-mimetic navigation: a model of hippocampal place cell activity
Angelo Arleo and Wulfram Gerstner · 2000
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A model of hippocampally dependent navigation, using the temporal difference learning rule
DJ Foster, RGM Morris, and Peter Dayan · 2000
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Sleep, learning, and dreams: off-line memory reprocessing
Robert Stickgold, J Allen Hobson, Roar Fosse, and Magdalena Fosse · 2001
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An integrative theory of prefrontal cortex function
Earl K Miller and Jonathan D Cohen · 2001
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Developmental robotics: a survey
Max Lungarella, Giorgio Metta, Rolf Pfeifer, and Giulio Sandini · 2003
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Open-ended artificial evolution
Russell K Standish · 2003
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Part i: Cognitive development in children–piaget development and learning
Jean Piaget · 2003
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Developmental robotics: Theory and experiments
Juyang Weng · 2004
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Sleep inspires insight
Ullrich Wagner, Steffen Gais, Hilde Haider, Rolf Verleger, and Jan Born · 2004
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An integrated theory of the mind
John R Anderson, Daniel Bothell, Michael D Byrne, Scott Douglass, Christian Lebiere, and Yulin Qin · 2004
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The constructivist learning architecture: A model of cognitive development for robust autonomous robots
Harold Henry Chaput · 2004
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Spatial navigation and causal analysis in a brain-based device modeling cortical-hippocampal interactions
Jeffrey L Krichmar, Anil K Seth, Douglas A Nitz, Jason G Fleischer, and Gerald M Edelman · 2005
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Robust self-localisation and navigation based on hippocampal place cells
Thomas Strösslin, Denis Sheynikhovich, Ricardo Chavarriaga, and Wulfram Gerstner · 2005
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A computational model of parallel navigation systems in rodents
Ricardo Chavarriaga, Thomas Strösslin, Denis Sheynikhovich, and Wulfram Gerstner · 2005
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Integration of navigation and action selection functionalities in a computational model of cortico-basal-ganglia–thalamo-cortical loops
Benoît Girard, David Filliat, Jean-Arcady Meyer, Alain Berthoz, and Agnès Guillot · 2005
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Actor–critic models of reinforcement learning in the basal ganglia: from natural to artificial rats
Mehdi Khamassi, Loïc Lachèze, Benoît Girard, Alain Berthoz, and Agnès Guillot · 2005
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Activity of striatal neurons reflects dynamic encoding and recoding of procedural memories
Terra D Barnes, Yasuo Kubota, Dan Hu, Dezhe Z Jin, and Ann M Graybiel · 2005
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Robots at the tipping point
Joseph L Jones · 2006
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A unified cognitive architecture for physical agents
Pat Langley and Dongkyu Choi · 2006
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Robustness of visual place cells in dynamic indoor and outdoor environment
C Giovannangeli, Ph Gaussier, and JP Banquet · 2006
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Anatomy of a decision: striato-orbitofrontal interactions in reinforcement learning, decision making, and reversal
Michael J Frank and Eric D Claus · 2006
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Reverse replay of behavioural sequences in hippocampal place cells during the awake state
David J Foster and Matthew A Wilson · 2006
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Reconciling reinforcement learning models with behavioral extinction and renewal: implications for addiction, relapse, and problem gambling
A David Redish, Steve Jensen, Adam Johnson, and Zeb Kurth-Nelson · 2007
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Intrinsic motivation systems for autonomous mental development
Pierre-Yves Oudeyer, Frdric Kaplan, and Verena V Hafner · 2007
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From pixels to policies: A bootstrapping agent
Jeremy Stober and Benjamin Kuipers · 2008
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Biologically-inspired robot spatial cognition based on rat neurophysiological studies
Alejandra Barrera and Alfredo Weitzenfeld · 2008
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Transfer learning for reinforcement learning domains: A survey
Matthew E Taylor and Peter Stone · 2009
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Some basic principles of developmental robotics
Alexander Stoytchev · 2009
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Compact models of motor primitive variations for predictable reaching and obstacle avoidance
F. Stulp, E. Oztop, P. Pastor, M. Beetz, and S. Schaal · 2009
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What is intrinsic motivation? a typology of computational approaches
Pierre-Yves Oudeyer and Frederic Kaplan · 2009
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A survey on transfer learning
Sinno Jialin Pan, Qiang Yang, et al · 2010
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Probabilistic policy reuse for inter-task transfer learning
Fernando Fernández, Javier García, and Manuela Veloso · 2010
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Autonomous helicopter aerobatics through apprenticeship learning
Pieter Abbeel, Adam Coates, and Andrew Y Ng · 2010
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Transfer learning
Lisa Torrey and Jude Shavlik · 2010
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Abandoning Objectives: Evolution Through the Search for Novelty Alone
Joel Lehman and Kenneth O. Stanley · 2010
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Hippocampal replay is not a simple function of experience
Anoopum S Gupta, Matthijs AA van der Meer, David S Touretzky, and A David Redish · 2010
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Model-based 3d object detection
Georg Biegelbauer, Markus Vincze, and Walter Wohlkinger · 2010
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Learning multiple tasks using manifold regularization
Arvind Agarwal, Samuel Gerber, and Hal Daume · 2010
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The glair cognitive architecture
Stuart C Shapiro and Jonathan P Bona · 2010
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Multilevel darwinist brain (mdb): Artificial evolution in a cognitive architecture for real robots
Francisco Bellas, Richard J Duro, Andrés Faiña, and Daniel Souto · 2010
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Intrinsically motivated hierarchical skill learning in structured environments
Christopher M Vigorito and Andrew G. Barto · 2010
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Persistent navigation and mapping using a biologically inspired slam system
Michael Milford and Gordon Wyeth · 2010
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Context, learning, and extinction
Samuel J Gershman, David M Blei, and Yael Niv · 2010
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Cortical and basal ganglia contributions to habit learning and automaticity
F Gregory Ashby, Benjamin O Turner, and Jon C Horvitz · 2010
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Differential dynamics of activity changes in dorsolateral and dorsomedial striatal loops during learning
Catherine A Thorn, Hisham Atallah, Mark Howe, and Ann M Graybiel · 2010
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Start/stop signals emerge in nigrostriatal circuits during sequence learning
Xin Jin and Rui M Costa · 2010
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Learning like a baby: a survey of artificial intelligence approaches
Frank Guerin · 2011
Cited alongside, same era.
Autonomous learning of high-level states and actions in continuous environments
Jonathan Mugan and Benjamin Kuipers · 2011
Cited alongside, same era.
Robot cognitive control with a neurophysiologically inspired reinforcement learning model
Mehdi Khamassi, Stéphane Lallée, Pierre Enel, Emmanuel Procyk, and Peter F Dominey · 2011
Cited alongside, same era.
Lessons learned from robotic vacuum cleaners entering the home ecosystem
F. Vaussard, J. Fink, V. Bauwens, P. Rétornaz, D. Hamel, P. Dillenbourg, and F. Mondada · 2012
Cited alongside, same era.
Transfer in reinforcement learning: a framework and a survey
Alessandro Lazaric · 2012
Cited alongside, same era.
Context nodes in the operation of a long term memory structure for an evolutionary cognitive architecture
Richard J Duro, Jose A Becerra, Juan Monroy, and Luis Calvo · 2017
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Benefits of proportionate selection in embodied evolution: a case study with behavioural specialization
Nicolas Bredeche, Jean-Marc Montanier, and Simon Carrignon · 2017
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Representational limits in cognitive architectures
Antonio Lieto · 2017
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Two ways (not) to design a cognitive architecture
David Vernon · 2017
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A brief survey of deep reinforcement learning
Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage, and Anil Anthony Bharath · 2017
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The option-critic architecture
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Anne Collins and Etienne Koechlin · 2012
Cited alongside, same era.
Integrating cortico-limbic-basal ganglia architectures for learning model-based and model-free navigation strategies
Mehdi Khamassi and Mark D Humphries · 2012
Cited alongside, same era.
A biologically inspired meta-control navigation system for the psikharpax rat robot
K. Caluwaerts, M. Staffa, S. N’Guyen, C. Grand, L. Dollé, A. Favre-Felix, B. Girard, and M. Khamassi · 2012
Cited alongside, same era.
Learning task grouping and overlap in multi-task learning
Abhishek Kumar and Hal Daume III · 2012
Cited alongside, same era.
Becca: Reintegrating ai for natural world interaction
Brandon Rohrer · 2012
Cited alongside, same era.
The Soar cognitive architecture
John E Laird · 2012
Cited alongside, same era.
Habits, action sequences and reinforcement learning
Amir Dezfouli and Bernard W Balleine · 2012
Cited alongside, same era.
Pierre-Luc Bacon, Jean Harb, and Doina Precup · 2017
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Feudal networks for hierarchical reinforcement learning
Alexander Sasha Vezhnevets, Simon Osindero, Tom Schaul, Nicolas Heess, Max Jaderberg, David Silver, and Koray Kavukcuoglu · 2017
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Andrew Levy, Robert Platt, and Kate Saenko · 2017
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Multi-level discovery of deep options
Roy Fox, Sanjay Krishnan, Ion Stoica, and Ken Goldberg · 2017
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Ddco: Discovery of deep continuous options for robot learning from demonstrations
Sanjay Krishnan, Roy Fox, Ion Stoica, and Ken Goldberg · 2017
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Stochastic neural networks for hierarchical reinforcement learning
Carlos Florensa, Yan Duan, and Pieter Abbeel · 2017
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Intrinsically motivated goal exploration processes with automatic curriculum learning
Sébastien Forestier, Yoan Mollard, and Pierre-Yves Oudeyer · 2017
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Bootstrapping q q -learning for robotics from neuro-evolution results
Matthieu Zimmer and Stephane Doncieux · 2017
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A deep hierarchical approach to lifelong learning in minecraft
Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, and Shie Mannor · 2017
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Active tactile transfer learning for object discrimination in an unstructured environment using multimodal robotic skin
Mohsen Kaboli, Di Feng, and Gordon Cheng · 2018
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Open-ended learning: A conceptual framework based on representational redescription
Stephane Doncieux, David Filliat, Natalia Díaz-Rodríguez, Timothy Hospedales, Richard Duro, Alexandre Coninx, Diederik M. Roijers, Benoît Girard, Nicolas Perrin, and Olivier Sigaud · 2018
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Never-ending learning
Tom Mitchell, William Cohen, Estevam Hruschka, Partha Talukdar, Bishan Yang, Justin Betteridge, Andrew Carlson, Bhanava Dalvi, Matt Gardner, Bryan Kisiel, et al · 2018
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Agile autonomous driving using end-to-end deep imitation learning
Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos Theodorou, and Byron Boots · 2018
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State Representation Learning for Control: An Overview
Timothée Lesort, Natalia Díaz-Rodríguez, Jean-Fançois Goudou, and David Filliat · 2018
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Hippocampal replays under the scrutiny of reinforcement learning models
Romain Cazé, Mehdi Khamassi, Lise Aubin, and Benoît Girard · 2018
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S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning
Antonin Raffin, Ashley Hill, René Traoré, Timothée Lesort, Natalia Díaz-Rodríguez, and David Filliat · 2018
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Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration
Alexandre Péré, Sébastien Forestier, Olivier Sigaud, and Pierre-Yves Oudeyer · 2018
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Evolution of Repertoire-Based Control for Robots With Complex Locomotor Systems
M Duarte, J Gomes, S M Oliveira, and A L Christensen · 2018
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Perceptual generalization and context in a network memory inspired long-term memory for artificial cognition
Richard J Duro, Jose A Becerra, Juan Monroy, and Francisco Bellas · 2018
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A redescriptive approach to autonomous perceptual classification in robotic cognitive architectures
Jose A Becerra, Richard J Duro, and Juan Monroy · 2018
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Embodied evolution in collective robotics: A review
Nicolas Bredeche, Evert Haasdijk, and Abraham Prieto · 2018
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40 years of cognitive architectures: core cognitive abilities and practical applications
Iuliia Kotseruba and John K Tsotsos · 2018
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A survey of cognitive architectures in the past 20 years
Peijun Ye, Tao Wang, and Fei-Yue Wang · 2018
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Learning robust options
Daniel J Mankowitz, Timothy A Mann, Pierre-Luc Bacon, Doina Precup, and Shie Mannor · 2018
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Hierarchical reinforcement learning with hindsight
Andrew Levy, Robert Platt, and Kate Saenko · 2018
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Data-efficient hierarchical reinforcement learning
Ofir Nachum, Shixiang Shane Gu, Honglak Lee, and Sergey Levine · 2018
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Hierarchical deep reinforcement learning for continuous action control
Zhaoyang Yang, Kathryn Merrick, Lianwen Jin, and Hussein A Abbass · 2018
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Vision-based multi-task manipulation for inexpensive robots using end-to-end learning from demonstration
Rouhollah Rahmatizadeh, Pooya Abolghasemi, Ladislau Bölöni, and Sergey Levine · 2018
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Curiosity driven exploration of learned disentangled goal spaces
Adrien Laversanne-Finot, Alexandre Péré, and Pierre-Yves Oudeyer · 2018
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Computational theories of curiosity-driven learning
Pierre-Yves Oudeyer · 2018
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Prioritized memory access explains planning and hippocampal replay
Marcelo G Mattar and Nathaniel D Daw · 2018
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Prioritized sweeping neural dynaq with multiple predecessors, and hippocampal replays
Lise Aubin, Mehdi Khamassi, and Benoît Girard · 2018
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Discorl: Continual reinforcement learning via policy distillation, 2019
René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Guanghang Cai, Natalia Díaz-Rodríguez, and David Filliat · 2019
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CURIOUS: Intrinsically motivated multi-task, multi-goal reinforcement learning
Cédric Colas, Pierre-Yves Oudeyer, Olivier Sigaud, Pierre Fournier, and Mohamed Chetouani · 2019
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Reinforcement learning, fast and slow
Matthew Botvinick, Sam Ritter, Jane X. Wang, Zeb Kurth-Nelson, Charles Blundell, and Demis Hassabis · 2019
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Continual lifelong learning with neural networks: A review
German I Parisi, Ronald Kemker, Jose L Part, Christopher Kanan, and Stefan Wermter · 2019
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Toward evolutionary and developmental intelligence
Kenji Doya and Tadahiro Taniguchi · 2019
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Unsupervised state representation learning with robotic priors: a robustness analysis
Timothée Lesort, Mathieu Seurin, Xinrui Li, Natalia Díaz Rodríguez, and David Filliat · 2019
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Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics
Antonin Raffin, Ashley Hill, Kalifou René Traoré, Timothée Lesort, Natalia Díaz-Rodríguez, and David Filliat · 2019
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Léni K Le Le Goff, Ghanim Mukhtar, Alexandre Coninx, and Stéphane Doncieux · 2019
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Building an affordances map with interactive perception
Leni K Le Goff, Oussama Yaakoubi, Alexandre Coninx, and Stephane Doncieux · 2019
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Seungsu Kim, Alexandre Coninx, and Stéphane Doncieux · 2019
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Policy search in continuous action domains: an overview
Olivier Sigaud and Freek Stulp · 2019
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Generative adversarial policy networks for behavioural repertoire
Marija Jegorova, Stéphane Doncieux, and Timothy Hospedales · 2019
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Importance of parameter settings on the benefits of robot-to-robot learning in evolutionary robotics
Jacqueline Heinerman, Evert Haasdijk, and A. E. Eiben · 2019
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A survey on policy search algorithms for learning robot controllers in a handful of trials
Konstantinos Chatzilygeroudis, Vassilis Vassiliades, Freek Stulp, Sylvain Calinon, and Jean-Baptiste Mouret · 2019
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Attention-based hierarchical deep reinforcement learning for lane change behaviors in autonomous driving
Yilun Chen, Chiyu Dong, Praveen Palanisamy, Priyantha Mudalige, Katharina Muelling, and John M Dolan · 2019
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Map making: Constructing, combining, and navigating abstract cognitive maps
Seongmin A Park, Douglas S Miller, Hamed Nili, Charan Ranganath, and Erie D Boorman · 2019
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Task representations in neural networks trained to perform many cognitive tasks
Guangyu Robert Yang, Madhura R Joglekar, H Francis Song, William T Newsome, and Xiao-Jing Wang · 2019
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Habits without values
Kevin J Miller, Amitai Shenhav, and Elliot A Ludvig · 2019
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Model-free rl or action sequences?
Adam Morris and Fiery Cushman · 2019
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Meta-learning in neural networks: A survey
Timothy Hospedales, Antreas Antoniou, Paul Micaelli, and Amos Storkey · 2020
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Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges
Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, and Natalia Díaz-Rodríguez · 2020
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Modeling awake hippocampal reactivations with model-based bidirectional search
Mehdi Khamassi and Benoît Girard · 2020
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