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Sample inefficiency is a long-lasting problem in reinforcement learning (RL).
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Stephane Ross and J Andrew Bagnell · 2014
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Human-level control through deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al · 2015
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Tom Schaul, John Quan, Ioannis Antonoglou, and David Silver · 2015
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Dueling network architectures for deep reinforcement learning
Ziyu Wang, Tom Schaul, Matteo Hessel, Hado Van Hasselt, Marc Lanctot, and Nando De Freitas · 2015
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Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, and Wojciech Zaremba · 2016
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Q-prop: Sample-efficient policy gradient with an off-policy critic
Shixiang Gu, Timothy Lillicrap, Zoubin Ghahramani, Richard E Turner, and Sergey Levine · 2016
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Pac reinforcement learning with rich observations
Akshay Krishnamurthy, Alekh Agarwal, and John Langford · 2016
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Convergent tree-backup and retrace with function approximation
Ahmed Touati, Pierre-Luc Bacon, Doina Precup, and Pascal Vincent · 2017
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Maximum a posteriori policy optimisation
Abbas Abdolmaleki, Jost Tobias Springenberg, Yuval Tassa, Remi Munos, Nicolas Heess, and Martin Riedmiller · 2018
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Dopamine: A research framework for deep reinforcement learning
Pablo Samuel Castro, Subhodeep Moitra, Carles Gelada, Saurabh Kumar, and Marc G. Bellemare · 2018
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Will Dabney, Georg Ostrovski, David Silver, and Rémi Munos · 2018
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Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, and Sergey Levine · 2018
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Deep q-learning from demonstrations
Todd Hester, Matej Vecerik, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, Andrew Sendonaris, Ian Osband, et al · 2018
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Are deep policy gradient algorithms truly policy gradient algorithms?
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Nan Jiang and Alekh Agarwal · 2018
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Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar · 2018
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Brendan O’Donoghue · 2018
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Junhyuk Oh, Yijie Guo, Satinder Singh, and Honglak Lee · 2018
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An algorithmic perspective on imitation learning
Takayuki Osa, Joni Pajarinen, Gerhard Neumann, J Andrew Bagnell, Pieter Abbeel, Jan Peters, et al · 2018
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Reinforcement learning: An introduction
Richard S Sutton and Andrew G Barto · 2018
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Towards sample efficient reinforcement learning
Yang Yu · 2018
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If maxent rl is the answer, what is the question?
Benjamin Eysenbach and Sergey Levine · 2019
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Andrea Zanette and Emma Brunskill · 2019
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