Fetching the paper…
Reading the bibliography…
Despite recent successes of reinforcement learning (RL), it remains a challenge for agents to transfer learned skills to related environments.
Infobot: Transfer and exploration via the information bottleneck
Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Matthew Botvinick, Hugo Larochelle, Yoshua Bengio, and Sergey Levine · 1901
Earlier work this paper cites.
Recurrent independent mechanisms
Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio, and Bernhard Schölkopf · 1909
Earlier work this paper cites.
Learning structural descriptions from examples
Patrick H Winston · 1970
Earlier work this paper cites.
Understanding natural language
Terry Winograd · 1972
Earlier work this paper cites.
A planning system for robot construction tasks
Scott Elliott Fahlman · 1974
Earlier work this paper cites.
Children’s play preferences, construction play with blocks, and visual-spatial skills: Are they related?
Yvonne M Caldera, Anne McDonald Culp, Marion O’Brien, Rosemarie T Truglio, Mildred Alvarez, and Aletha C Huston · 1999
Earlier work this paper cites.
The development of logico-mathematical knowledge in a block-building activity at ages 1–4
Constance Kamii, Yoko Miyakawa, and Yasuhiko Kato · 2004
Earlier work this paper cites.
Structure and strength in causal induction
Thomas L Griffiths and Joshua B Tenenbaum · 2005
Earlier work this paper cites.
The development of spatial skills through interventions involving block building activities
Beth M Casey, Nicole Andrews, Holly Schindler, Joanne E Kersh, Alexandra Samper, and Juanita Copley · 2008
Earlier work this paper cites.
Learning multiple layers of features from tiny images
Alex Krizhevsky, Geoffrey Hinton, et al · 2009
Earlier work this paper cites.
Causality
Judea Pearl · 2009
Earlier work this paper cites.
Protecting against evaluation overfitting in empirical reinforcement learning
Shimon Whiteson, Brian Tanner, Matthew E Taylor, and Peter Stone · 2011
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Earlier work this paper cites.
The arcade learning environment: An evaluation platform for general agents
Marc G Bellemare, Yavar Naddaf, Joel Veness, and Michael Bowling · 2013
Earlier work this paper cites.
Bullet real-time physics simulation
Erwin Coumans et al · 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.
Construction play and cognitive skills associated with the development of mathematical abilities in 7-year-old children
Swiya Nath and Dénes Szücs · 2014
Earlier work this paper cites.
Children’s construction task performance and spatial ability: Controlling task complexity and predicting mathematics performance
Miles Richardson, Thomas E Hunt, and Cassandra Richardson · 2014
Cited alongside, same era.
Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, and Wojciech Zaremba · 2016
Cited alongside, same era.
Robust adversarial reinforcement learning
Lerrel Pinto, James Davidson, Rahul Sukthankar, and Abhinav Gupta · 2017
Cited alongside, same era.
Towards generalization and simplicity in continuous control
Aravind Rajeswaran, Kendall Lowrey, Emanuel V Todorov, and Sham M Kakade · 2017
Cited alongside, same era.
Proximal policy optimization algorithms, 2017
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
Cited alongside, same era.
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 · 2019
Later among the works it cites.
Emergent tool use from multi-agent autocurricula
Bowen Baker, Ingmar Kanitscheider, Todor Markov, Yi Wu, Glenn Powell, Bob McGrew, and Igor Mordatch · 2019
Later among the works it cites.
Phyre: A new benchmark for physical reasoning
Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson, and Ross Girshick · 2019
Later among the works it cites.
Structured agents for physical construction
Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L Stachenfeld, Pushmeet Kohli, Peter W Battaglia, and Jessica B Hamrick · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Mastering the game of go without human knowledge
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, et al · 2017
Cited alongside, same era.
Links between spatial and mathematical skills across the preschool years
Brian N Verdine, Roberta Michnick Golinkoff, Kathy Hirsh-Pasek, and Nora Newcombe · 2017
Cited alongside, same era.
Preparing for the unknown: Learning a universal policy with online system identification
Wenhao Yu, Jie Tan, C Karen Liu, and Greg Turk · 2017
Cited alongside, same era.
Babyai: A platform to study the sample efficiency of grounded language learning
Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen, and Yoshua Bengio · 2018
Cited alongside, same era.
Quantifying generalization in reinforcement learning
Karl Cobbe, Oleg Klimov, Chris Hesse, Taehoon Kim, and John Schulman · 2018
Cited alongside, same era.
The benefits of toy blocks: The science of construction play
Gwen Dewar · 2018
Cited alongside, same era.
Addressing function approximation error in actor-critic methods, 2018
Scott Fujimoto, Herke van Hoof, and David Meger · 2018
Cited alongside, same era.
Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, and Christian Wolf · 2019
Later among the works it cites.
Dota 2 with large scale deep reinforcement learning
Christopher Berner, Greg Brockman, Brooke Chan, Vicki Cheung, Przemysaw Debiak, Christy Dennison, David Farhi, Quirin Fischer, Shariq Hashme, Chris Hesse, et al · 2019
Later among the works it cites.
Measuring the reliability of reinforcement learning algorithms
Stephanie CY Chan, Sam Fishman, John Canny, Anoop Korattikara, and Sergio Guadarrama · 2019
Later among the works it cites.
Ikea furniture assembly environment for long-horizon complex manipulation tasks, 2019
Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Alex Yin, and Joseph J. Lim · 2019
Later among the works it cites.
Behaviour suite for reinforcement learning
Ian Osband, Yotam Doron, Matteo Hessel, John Aslanides, Eren Sezener, Andre Saraiva, Katrina McKinney, Tor Lattimore, Csaba Szepezvari, Satinder Singh, et al · 2019
Later among the works it cites.
Causality for machine learning
Bernhard Schölkopf · 2019
Later among the works it cites.
Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning
Tianhe Yu, Deirdre Quillen, Zhanpeng He, Ryan Julian, Karol Hausman, Chelsea Finn, and Sergey Levine · 2019
Later among the works it cites.
An empirical investigation of the challenges of real-world reinforcement learning
Gabriel Dulac-Arnold, Nir Levine, Daniel J Mankowitz, Jerry Li, Cosmin Paduraru, Sven Gowal, and Todd Hester · 2020
Closest in time.
Rlbench: The robot learning benchmark & learning environment
Stephen James, Zicong Ma, David Rovick Arrojo, and Andrew J Davison · 2020
Closest in time.
https://github.com/open-dynamic-robot-initiative/trifinger_simulation , 2020
Shruti Joshi, Felix Widmaier, Vaibhav Agrawal, and Manuel Wüthrich · 2020
Closest in time.
Physically embedded planning problems: New challenges for reinforcement learning, 2020
Mehdi Mirza, Andrew Jaegle, Jonathan J. Hunt, Arthur Guez, Saran Tunyasuvunakool, Alistair Muldal, Théophane Weber, Peter Karkus, Sébastien Racanière, Lars Buesing, Timothy Lillicrap, and Nicolas Heess · 2020
Closest in time.
Trifinger: An open-source robot for learning dexterity
Manuel Wüthrich, Felix Widmaier, Felix Grimminger, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bilal Hammoud, Majid Khadiv, Miroslav Bogdanovic, Vincent Berenz, et al · 2020
Closest in time.