Evaluating the Performance of Reinforcement Learning Algorithms

30 June 2020

Papers citing "Evaluating the Performance of Reinforcement Learning Algorithms"

20 / 20 papers shown

Title
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 96 5 0 24 Jan 2025
Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program) Joelle Pineau Philippe Vincent-Lamarre Koustuv Sinha V. Larivière A. Beygelzimer Florence dÁlché-Buc E. Fox Hugo Larochelle 68 361 0 27 Mar 2020
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning Akanksha Atrey Kaleigh Clary David D. Jensen FAtt LRM 54 91 0 09 Dec 2019
Challenges of Real-World Reinforcement Learning Gabriel Dulac-Arnold D. Mankowitz Todd Hester OffRL 77 547 0 29 Apr 2019
$α$ -Rank: Multi-Agent Evaluation by Evolution Shayegan Omidshafiei Christos H. Papadimitriou Georgios Piliouras K. Tuyls Mark Rowland Jean-Baptiste Lespiau Wojciech M. Czarnecki Marc Lanctot Julien Perolat Rémi Munos 65 121 0 04 Mar 2019
A Comparative Analysis of Expected and Distributional Reinforcement Learning Clare Lyle Pablo Samuel Castro Marc G. Bellemare OffRL 50 81 0 30 Jan 2019
Measuring and Characterizing Generalization in Deep Reinforcement Learning Sam Witty Jun Ki Lee Emma Tosch Akanksha Atrey Michael Littman David D. Jensen OffRL 50 60 0 07 Dec 2018
ToyBox: Better Atari Environments for Testing Reinforcement Learning Agents John Foley Emma Tosch Kaleigh Clary David D. Jensen OffRL 35 7 0 06 Dec 2018
Troubling Trends in Machine Learning Scholarship Zachary Chase Lipton Jacob Steinhardt 46 290 0 09 Jul 2018
How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments Cédric Colas Olivier Sigaud Pierre-Yves Oudeyer 45 91 0 21 Jun 2018
Re-evaluating Evaluation David Balduzzi K. Tuyls Julien Perolat T. Graepel MoMe 55 99 0 07 Jun 2018
The Mirage of Action-Dependent Baselines in Reinforcement Learning George Tucker Surya Bhupatiraju S. Gu Richard Turner Zoubin Ghahramani Sergey Levine OffRL 67 127 0 27 Feb 2018
Are GANs Created Equal? A Large-Scale Study Mario Lucic Karol Kurach Marcin Michalski Sylvain Gelly Olivier Bousquet EGVM 60 1,011 0 28 Nov 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 116 1,951 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 71 552 0 18 Sep 2017
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control Riashat Islam Peter Henderson Maziar Gomrokchi Doina Precup BDL OffRL 75 252 0 10 Aug 2017
Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging Nils Reimers Iryna Gurevych 67 437 0 31 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 478 19,019 0 20 Jul 2017
On the State of the Art of Evaluation in Neural Language Models Gábor Melis Chris Dyer Phil Blunsom 65 535 0 18 Jul 2017
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 112 3,006 0 19 Jul 2012