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Humans possess an extraordinary ability to create and utilize tools, allowing them to overcome physical limitations and explore new frontiers.
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning
Kelsey R Allen, Kevin A Smith, and Joshua B Tenenbaum · 1907
Earlier work this paper cites.
Solving rubik’s cube with a robot hand
Ilge Akkaya, Marcin Andrychowicz, Maciek Chociej, Mateusz Litwin, Bob McGrew, Arthur Petron, Alex Paino, Matthias Plappert, Glenn Powell, Raphael Ribas, et al · 1910
Earlier work this paper cites.
Dota 2 with large scale deep reinforcement learning
Christopher Berner, Greg Brockman, Brooke Chan, Vicki Cheung, Przemysław Dębiak, Christy Dennison, David Farhi, Quirin Fischer, Shariq Hashme, Chris Hesse, et al · 1912
Earlier work this paper cites.
Tools and human evolution
Sherwood L Washburn · 1960
Earlier work this paper cites.
Reasoning about a rule
Peter C Wason · 1968
Earlier work this paper cites.
Alvinn: An autonomous land vehicle in a neural network
Dean A Pomerleau · 1988
Earlier work this paper cites.
Smiles, a chemical language and information system. 1. introduction to methodology and encoding rules
David Weininger · 1988
Earlier work this paper cites.
Tools, language and cognition in human evolution
Kathleen R Gibson, Kathleen Rita Gibson, and Tim Ingold · 1993
Earlier work this paper cites.
A framework for behavioural cloning
Michael Bain and Claude Sammut · 1995
Earlier work this paper cites.
What is cognitive science?
Barbara Von Eckardt · 1995
Earlier work this paper cites.
Manufacture and use of hook-tools by new caledonian crows
Gavin R Hunt · 1996
Earlier work this paper cites.
The prehistory of the mind: The cognitive origins of art and science
Steven Mithen · 1996
Earlier work this paper cites.
The theory of successful intelligence
Robert J Sternberg · 1999
Earlier work this paper cites.
Groundwork for the Metaphysics of Morals
Immanuel Kant and Jerome B Schneewind · 2002
Earlier work this paper cites.
The development of embodied cognition: Six lessons from babies
Linda Smith and Michael Gasser · 2005
Earlier work this paper cites.
What puts the how in where? tool use and the divided visual streams hypothesis
Scott H Frey · 2007
Earlier work this paper cites.
Determining the user intent of web search engine queries
Bernard J. Jansen, Danielle L. Booth, and Amanda Spink · 2007
Earlier work this paper cites.
Manufacturing Execution Systems—MES
Jürgen Kletti · 2007
Earlier work this paper cites.
A survey of named entity recognition and classification
David Nadeau and Satoshi Sekine · 2007
Earlier work this paper cites.
Curriculum learning
Yoshua Bengio, Jérôme Louradour, Ronan Collobert, and Jason Weston · 2009
Earlier work this paper cites.
Functional understanding facilitates learning about tools in human children
Mikolaj Hernik and Gergely Csibra · 2009
Earlier work this paper cites.
Dependency parsing
Sandra Kübler, Ryan McDonald, and Joakim Nivre · 2009
Earlier work this paper cites.
Coevolution of composite-tool technology, constructive memory, and language: implications for the evolution of modern human behavior
Stanley H Ambrose · 2010
Earlier work this paper cites.
Supply chain management systems: architecture, design and vision
Vikas Misra, MI Khan, and UK Singh · 2010
Earlier work this paper cites.
Animal tool-use
Amanda Seed and Richard Byrne · 2010
Earlier work this paper cites.
A comprehensive survey of data mining-based accounting-fraud detection research
Shiguo Wang · 2010
Earlier work this paper cites.
Thinking, fast and slow
Daniel Kahneman · 2011
Earlier work this paper cites.
Animal tool behavior: the use and manufacture of tools by animals
Robert W Shumaker, Kristina R Walkup, and Benjamin B Beck · 2011
Earlier work this paper cites.
Summarize what you are interested in: An optimization framework for interactive personalized summarization
Rui Yan, Jian-Yun Nie, and Xiaoming Li · 2011
Earlier work this paper cites.
A survey of text summarization techniques
Ani Nenkova and Kathleen McKeown · 2012
Earlier work this paper cites.
Mujoco: A physics engine for model-based control
Emanuel Todorov, Tom Erez, and Yuval Tassa · 2012
Earlier work this paper cites.
Metacognition and the use of tools
Geraldine Clarebout, Jan Elen, Norma A Juarez Collazo, Griet Lust, and Lai Jiang · 2013
Earlier work this paper cites.
Where’s the action? the pragmatic turn in cognitive science
Andreas K Engel, Alexander Maye, Martin Kurthen, and Peter König · 2013
Earlier work this paper cites.
The art of reasoning: An introduction to logic and critical thinking
David Kelley · 2013
Earlier work this paper cites.
Computer environments as cognitive tools for enhancing learning
Susanne P Lajoie and Sharon J Derry · 2013
Earlier work this paper cites.
Playing atari with deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller · 2013
Earlier work this paper cites.
Did tool-use evolve with enhanced physical cognitive abilities?
Irmgard Teschke, Claudia AF Wascher, Madeleine F Scriba, Auguste MP von Bayern, V Huml, B Siemers, and Sabine Tebbich · 2013
Earlier work this paper cites.
The neural basis of human tool use
Guy A Orban and Fausto Caruana · 2014
Earlier work this paper cites.
Plan, activity, and intent recognition: Theory and practice
Gita Sukthankar, Christopher Geib, Hung Bui, David Pynadath, and Robert P Goldman · 2014
Earlier work this paper cites.
Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, and Rob Fergus · 2014
Earlier work this paper cites.
Personalized machine translation: Predicting translational preferences
Shachar Mirkin and Jean-Luc Meunier · 2015
Earlier work this paper cites.
Concrete problems in AI safety
Dario Amodei, Chris Olah, Jacob Steinhardt, Paul F. Christiano, John Schulman, and Dan Mané · 2016
Earlier work this paper cites.
What does it take for an infant to learn how to use a tool by observation?
Jacqueline Fagard, Lauriane Rat-Fischer, Rana Esseily, Eszter Somogyi, and JK O’Regan · 2016
Earlier work this paper cites.
Origins of human intelligence: The chain of tool-making and brain evolution
Kwang Hyun Ko · 2016
Earlier work this paper cites.
Tool use and affordance: Manipulation-based versus reasoning-based approaches
François Osiurak and Arnaud Badets · 2016
Earlier work this paper cites.
Deep reinforcement learning from human preferences
Paul F Christiano, Jan Leike, Tom Brown, Miljan Martic, Shane Legg, and Dario Amodei · 2017
Earlier work this paper cites.
Imitation learning: A survey of learning methods
Ahmed Hussein, Mohamed Medhat Gaber, Eyad Elyan, and Chrisina Jayne · 2017
Earlier work this paper cites.
Policy and society related implications of automated driving: A review of literature and directions for future research
Dimitris Milakis, Bart Van Arem, and Bert Van Wee · 2017
Earlier work this paper cites.
Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
Earlier work this paper cites.
World of bits: An open-domain platform for web-based agents
Tianlin Shi, Andrej Karpathy, Linxi Fan, Jonathan Hernandez, and Percy Liang · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Cognitive gadgets: The cultural evolution of thinking
Cecilia Heyes · 2018
Earlier work this paper cites.
Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
Sergey Levine, Peter Pastor, Alex Krizhevsky, Julian Ibarz, and Deirdre Quillen · 2018
Earlier work this paper cites.
Reinforcement learning on web interfaces using workflow-guided exploration
Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, Tianlin Shi, and Percy Liang · 2018
Earlier work this paper cites.
Imitation from observation: Learning to imitate behaviors from raw video via context translation
YuXuan Liu, Abhishek Gupta, Pieter Abbeel, and Sergey Levine · 2018
Earlier work this paper cites.
Training millions of personalized dialogue agents
Pierre-Emmanuel Mazaré, Samuel Humeau, Martin Raison, and Antoine Bordes · 2018
Earlier work this paper cites.
Looking for intoolligence: A unified framework for the cognitive study of human tool use and technology
François Osiurak and Dietmar Heinke · 2018
Earlier work this paper cites.
Tool use and generalized motor programs: we all are natural born poly-dexters
François Osiurak, Mathieu Lesourd, Ludovic Delporte, and Yves Rossetti · 2018
Earlier work this paper cites.
Virtualhome: Simulating household activities via programs
Xavier Puig, Kevin Ra, Marko Boben, Jiaman Li, Tingwu Wang, Sanja Fidler, and Antonio Torralba · 2018
Earlier work this paper cites.
A general reinforcement learning algorithm that masters chess, shogi, and go through self-play
David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, et al · 2018
Earlier work this paper cites.
Behavioral cloning from observation
Faraz Torabi, Garrett Warnell, and Peter Stone · 2018
Earlier work this paper cites.
Compact personalized models for neural machine translation
Joern Wuebker, Patrick Simianer, and John DeNero · 2018
Earlier work this paper cites.
HotpotQA: A dataset for diverse, explainable multi-hop question answering
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William Cohen, Ruslan Salakhutdinov, and Christopher D. Manning · 2018
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Personalizing dialogue agents: I have a dog, do you have pets too?
Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, and Jason Weston · 2018
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MathQA: Towards interpretable math word problem solving with operation-based formalisms
Aida Amini, Saadia Gabriel, Shanchuan Lin, Rik Koncel-Kedziorski, Yejin Choi, and Hannaneh Hajishirzi · 2019
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Learning curves and teaching when acquiring nut-cracking in humans and chimpanzees
Christophe Boesch, Daša Bombjaková, Amelia Meier, and Roger Mundry · 2019
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Exploring the limitations of behavior cloning for autonomous driving
Felipe Codevilla, Eder Santana, Antonio M. López, and Adrien Gaidon · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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PromptSource: An integrated development environment and repository for natural language prompts
Stephen Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M Saiful Bari, Thibault Fevry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-david, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Fries, Maged Al-shaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Dragomir Radev, Mike Tian-jian Jiang, and Alexander Rush · 2022
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Video pretraining (vpt): Learning to act by watching unlabeled online videos
Bowen Baker, Ilge Akkaya, Peter Zhokhov, Joost Huizinga, Jie Tang, Adrien Ecoffet, Brandon Houghton, Raul Sampedro, and Jeff Clune · 2022
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Quantifying memorization across neural language models
Nicholas Carlini, Daphne Ippolito, Matthew Jagielski, Katherine Lee, Florian Tramer, and Chiyuan Zhang · 2022
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No language left behind: Scaling human-centered machine translation
Marta R Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, et al · 2022
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Qtune: A query-aware database tuning system with deep reinforcement learning
Guoliang Li, Xuanhe Zhou, Shifu Li, and Bo Gao · 2019
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Personalizing dialogue agents via meta-learning
Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, and Pascale Fung · 2019
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Ai in context: the labor of integrating new technologies
Alexandra Mateescu and Madeleine Elish · 2019
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Artificial intelligence in health care: The hope, the hype, the promise, the peril
Michael Matheny, S Thadaney Israni, Mahnoor Ahmed, and Danielle Whicher · 2019
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To watch is to work: a review of neuroimaging data on tool use observation network
Emanuelle Reynaud, Jordan Navarro, Mathieu Lesourd, and François Osiurak · 2019
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Universal adversarial triggers for attacking and analyzing NLP
Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, and Sameer Singh · 2019
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Superglue: A stickier benchmark for general-purpose language understanding systems
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R. Bowman · 2019
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Selection-inference: Exploiting large language models for interpretable logical reasoning
Antonia Creswell, Murray Shanahan, and Irina Higgins · 2022
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A unified evaluation of textual backdoor learning: Frameworks and benchmarks
Ganqu Cui, Lifan Yuan, Bingxiang He, Yangyi Chen, Zhiyuan Liu, and Maosong Sun · 2022
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Magnetic control of tokamak plasmas through deep reinforcement learning
Jonas Degrave, Federico Felici, Jonas Buchli, Michael Neunert, Brendan Tracey, Francesco Carpanese, Timo Ewalds, Roland Hafner, Abbas Abdolmaleki, Diego de Las Casas, et al · 2022
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A survey of embodied ai: From simulators to research tasks
Jiafei Duan, Samson Yu, Hui Li Tan, Hongyuan Zhu, and Cheston Tan · 2022
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Incoder: A generative model for code infilling and synthesis
Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Wen-tau Yih, Luke Zettlemoyer, and Mike Lewis · 2022
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Pal: Program-aided language models
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Language models are general-purpose interfaces
Yaru Hao, Haoyu Song, Li Dong, Shaohan Huang, Zewen Chi, Wenhui Wang, Shuming Ma, and Furu Wei · 2022
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Language models as zero-shot planners: Extracting actionable knowledge for embodied agents
Wenlong Huang, Pieter Abbeel, Deepak Pathak, and Igor Mordatch · 2022
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Opt-iml: Scaling language model instruction meta learning through the lens of generalization
Srinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, Todor Mihaylov, Dániel Simig, Ping Yu, Kurt Shuster, Tianlu Wang, Qing Liu, Punit Singh Koura, et al · 2022
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Few-shot learning with retrieval augmented language models
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RealTime QA: What’s the answer right now?, 2022
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Hypertree proof search for neural theorem proving
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Pre-trained language models for interactive decision-making
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OpenAI: Introducing ChatGPT, 2022
OpenAI · 2022
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Hierarchical text-conditional image generation with clip latents
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Multitask prompted training enables zero-shot task generalization
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