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While we would like agents that can coordinate with humans, current algorithms such as self-play and population-based training create agents that can coordinate with themselves.
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Douglas C Engelbart · 1962
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Dean A Pomerleau · 1991
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Craig Boutilier · 1996
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Michael J Gielniak and Andrea L Thomaz · 2011
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Legibility and predictability of robot motion
Anca D Dragan, Kenton CT Lee, and Siddhartha S Srinivasa · 2013
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Human-robot cross-training: computational formulation, modeling and evaluation of a human team training strategy
Stefanos Nikolaidis and Julie Shah · 2013
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Shared autonomy via hindsight optimization
Shervin Javdani, Siddhartha S Srinivasa, and J Andrew Bagnell · 2015
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Feature-based joint planning and norm learning in collaborative games
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Model-agnostic meta-learning for fast adaptation of deep networks
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Mastering chess and shogi by self-play with a general reinforcement learning algorithm
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Learning dexterous in-hand manipulation
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Bayesian action decoder for deep multi-agent reinforcement learning
Jakob N Foerster, Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew Botvinick, and Michael Bowling · 2018
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Inequity aversion improves cooperation in intertemporal social dilemmas
Edward Hughes, Joel Z Leibo, Matthew Phillips, Karl Tuyls, Edgar Dueñez-Guzman, Antonio García Castañeda, Iain Dunning, Tina Zhu, Kevin McKee, Raphael Koster, et al · 2018
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Cooperative multi-agent control using deep reinforcement learning
Jayesh K Gupta, Maxim Egorov, and Mykel Kochenderfer · 2017
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Population based training of neural networks
Max Jaderberg, Valentin Dalibard, Simon Osindero, Wojciech M Czarnecki, Jeff Donahue, Ali Razavi, Oriol Vinyals, Tim Green, Iain Dunning, Karen Simonyan, et al · 2017
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Multi-agent reinforcement learning in sequential social dilemmas
Joel Z Leibo, Vinicius Zambaldi, Marc Lanctot, Janusz Marecki, and Thore Graepel · 2017
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Multi-agent actor-critic for mixed cooperative-competitive environments
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John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Neural network dynamics for model-based deep reinforcement learning with model-free fine-tuning
Anusha Nagabandi, Gregory Kahn, Ronald S Fearing, and Sergey Levine · 2018
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Personalized dynamics models for adaptive assistive navigation interfaces
Eshed Ohn-Bar, Kris M. Kitani, and Chieko Asakawa · 2018
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On the utility of model learning in HRI
Rohan Choudhury, Gokul Swamy, Dylan Hadfield-Menell, and Anca Dragan · 2019
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Human-level performance in 3d multiplayer games with population-based reinforcement learning
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AlphaStar: Mastering the Real-Time Strategy Game StarCraft II
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