Measuring the Reliability of Reinforcement Learning Algorithms

10 December 2019

Stephanie C. Y. Chan

Sam Fishman

John F. Canny

Anoop Korattikara Balan

S. Guadarrama

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Papers citing "Measuring the Reliability of Reinforcement Learning Algorithms"

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Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Lucía Güitta-López Jaime Boal Álvaro J. López-López 76 5 0 24 Jan 2025
Revisiting Ensemble Methods for Stock Trading and Crypto Trading Tasks at ACM ICAIF FinRL Contest 2023-2024 Nikolaus Holzer Keyi Wang Kairong Xiao Xiao-Yang Liu Yanglet AIFin 53 1 0 18 Jan 2025
A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms Cédric Colas Olivier Sigaud Pierre-Yves Oudeyer 25 64 0 15 Apr 2019
Dopamine: A Research Framework for Deep Reinforcement Learning Pablo Samuel Castro Subhodeep Moitra Carles Gelada Saurabh Kumar Marc G. Bellemare OffRL 47 277 0 14 Dec 2018
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning P. Nagarajan Garrett A. Warnell Peter Stone 36 51 0 15 Sep 2018
How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments Cédric Colas Olivier Sigaud Pierre-Yves Oudeyer 39 90 0 21 Jun 2018
Implicit Quantile Networks for Distributional Reinforcement Learning Will Dabney Georg Ostrovski David Silver Rémi Munos OffRL 69 529 0 14 Jun 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 153 5,121 0 26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 219 8,236 0 04 Jan 2018
Rainbow: Combining Improvements in Deep Reinforcement Learning Matteo Hessel Joseph Modayil H. V. Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot M. G. Azar David Silver OffRL 94 2,255 0 06 Oct 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 103 1,940 0 19 Sep 2017
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents Marlos C. Machado Marc G. Bellemare Erik Talvitie J. Veness Matthew J. Hausknecht Michael Bowling 60 549 0 18 Sep 2017
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control Riashat Islam Peter Henderson Maziar Gomrokchi Doina Precup BDL OffRL 37 251 0 10 Aug 2017
A Distributional Perspective on Reinforcement Learning Marc G. Bellemare Will Dabney Rémi Munos OffRL 69 1,497 0 21 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 236 18,685 0 20 Jul 2017
Noisy Networks for Exploration Meire Fortunato M. G. Azar Bilal Piot Jacob Menick Ian Osband ... Rémi Munos Demis Hassabis Olivier Pietquin Charles Blundell Shane Legg 66 890 0 30 Jun 2017
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 66 1,689 0 22 Apr 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 193 13,174 0 09 Sep 2015
Algorithms for CVaR Optimization in MDPs Yinlam Chow Mohammad Ghavamzadeh 60 198 0 12 Jun 2014
Optimizing the CVaR via Sampling Aviv Tamar Yonatan Glassner Shie Mannor 48 186 0 15 Apr 2014