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Efficient learning in the environment with sparse rewards is one of the most important challenges in Deep Reinforcement Learning (DRL).
Learning to achieve goals
Leslie Pack Kaelbling · 1993
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Daphne Koller and Nir Friedman · 2009
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
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Continuous control with deep reinforcement learning
Timothy P Lillicrap, Jonathan J Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, and Daan Wierstra · 2015
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Universal value function approximators
Tom Schaul, Daniel Horgan, Karol Gregor, and David Silver · 2015
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Mastering the game of go with deep neural networks and tree search
David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George Van Den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, et al · 2016
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Hindsight experience replay
Marcin Andrychowicz, Filip Wolski, Alex Ray, Jonas Schneider, Rachel Fong, Peter Welinder, Bob McGrew, Josh Tobin, OpenAI Pieter Abbeel, and Wojciech Zaremba · 2017
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Reinforcement learning with deep energy-based policies
Tuomas Haarnoja, Haoran Tang, Pieter Abbeel, and Sergey Levine · 2017
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Equivalence between policy gradients and soft q-learning
John Schulman, Xi Chen, and Pieter Abbeel · 2017
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Learning dexterous in-hand manipulation
Marcin Andrychowicz, Bowen Baker, Maciek Chociej, Rafal Jozefowicz, Bob McGrew, Jakub Pachocki, Arthur Petron, Matthias Plappert, Glenn Powell, Alex Ray, et al · 2018
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Dher: Hindsight experience replay for dynamic goals
Meng Fang, Cheng Zhou, Bei Shi, Boqing Gong, Jia Xu, and Tong Zhang · 2018
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Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor
Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, and Sergey Levine · 2018
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Acquiring Diverse Robot Skills via Maximum Entropy Deep Reinforcement Learning
Tuomas Haarnoja · 2018
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Automatic goal generation for reinforcement learning agents
David Held, Xinyang Geng, Carlos Florensa, and Pieter Abbeel · 2018
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Energy-based hindsight experience prioritization
Rui Zhao and Volker Tresp · 2018
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Alphastar: An evolutionary computation perspective
Kai Arulkumaran, Antoine Cully, and Julian Togelius · 2019
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Goal-conditioned imitation learning
Yiming Ding, Carlos Florensa, Pieter Abbeel, and Mariano Phielipp · 2019
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If maxent rl is the answer, what is the question?
Benjamin Eysenbach and Sergey Levine · 2019
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Curriculum-guided hindsight experience replay
Meng Fang, Tianyi Zhou, Yali Du, Lei Han, and Zhengyou Zhang · 2019
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Human-level performance in 3d multiplayer games with population-based reinforcement learning
Max Jaderberg, Wojciech M Czarnecki, Iain Dunning, Luke Marris, Guy Lever, Antonio Garcia Castaneda, Charles Beattie, Neil C Rabinowitz, Ari S Morcos, Avraham Ruderman, et al · 2019
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Curiosity-driven experience prioritization via density estimation
Rui Zhao and Volker Tresp · 2019
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