Evaluating the Performance of Reinforcement Learning Algorithms

Evaluating the Performance of Reinforcement Learning Algorithms

30 June 2020

Scott M. Jordan

Philip S. Thomas

Papers citing "Evaluating the Performance of Reinforcement Learning Algorithms"

13 / 13 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 54 5 0 24 Jan 2025
A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning Jacob Adkins Michael Bowling Adam White 80 1 0 10 Dec 2024
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning Zun Li Michael P. Wellman 42 1 0 30 Apr 2024
Addressing the issue of stochastic environments and local decision-making in multi-objective reinforcement learning Kewen Ding 26 2 0 16 Nov 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL R. Gorsane Omayma Mahjoub Ruan de Kock Roland Dubb Siddarth S. Singh Arnu Pretorius OffRL 44 50 0 21 Sep 2022
Robust Losses for Learning Value Functions Andrew Patterson Victor Liao Martha White 33 12 0 17 May 2022
How stable are Transferability Metrics evaluations? A. Agostinelli Michal Pándy J. Uijlings Thomas Mensink V. Ferrari 35 23 0 04 Apr 2022
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization Brandon Trabucco Xinyang Geng Aviral Kumar Sergey Levine OffRL 37 95 0 17 Feb 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 38 100 0 11 Jan 2022
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN Peizheng Li Jonathan D. Thomas Xiaoyang Wang Ahmed Khalil A. Ahmad ... S. Kapoor Arjun Parekh A. Doufexi Arman Shojaeifard Robert Piechocki AI4TS 16 37 0 12 Nov 2021
Batch size-invariance for policy optimization Jacob Hilton K. Cobbe John Schulman 27 11 0 01 Oct 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron Courville Marc G. Bellemare OffRL 61 639 0 30 Aug 2021
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research J. Obando-Ceron Pablo Samuel Castro OffRL 20 105 0 20 Nov 2020