Let's Play Again: Variability of Deep Reinforcement Learning Agents in Atari Environments

Scalable trust-region method for deep reinforcement learning using kronecker-factored approximation

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The Arcade Learning Environment: An Evaluation Platform for General Agents

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The Garden of Forking Paths: Why multiple comparisons can be a problem, even when there is no “fishing expedition” or “p-hacking” and the research hypothesis was posited ahead of time

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OpenAI Baselines

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Deep Reinforcement Learning that Matters

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Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control

Riashat Islam, Peter Henderson, Maziar Gomrokchi, and Doina Precup · 2017

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Proximal Policy Optimization Algorithms

Original

John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017

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Distributed evaluations: Ending neural point metrics

Daniel Cohen, Scott M. Jordan, and W. Bruce Croft · 2018

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Deep Reinforcement Learning Doesn’t Work Yet

Alex Irpan · 2018

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