Machine Learning · Computer Science
ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems
Bharathan Balaji, Jordan Bell-Masterson, Enes Bilgin, Andreas Damianou +6
2019-12-03
Applications · Statistics
Statistical Reinforcement Learning in the Real World: A Survey of Challenges and Future Directions
Asim H. Gazi, Yongyi Guo, Daiqi Gao, Ziping Xu +2
2026-01-23
Machine Learning · Computer Science
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints
Kazumi Kasaura, Shuwa Miura, Tadashi Kozuno, Ryo Yonetani +2
2023-06-30
Machine Learning · Computer Science
Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms
Ruizhi Chen, Xiaoyu Wu, Yansong Pan, Kaizhao Yuan +11
2021-09-07
Machine Learning · Computer Science
Towards Sample-Efficiency and Generalization of Transfer and Inverse Reinforcement Learning: A Comprehensive Literature Review
Hossein Hassani, Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif +1
2025-09-23
Machine Learning · Computer Science
Autonomous Reinforcement Learning: Formalism and Benchmarking
Archit Sharma, Kelvin Xu, Nikhil Sardana, Abhishek Gupta +3
2022-08-09
Machine Learning · Computer Science
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning
Robert Kirk, Amy Zhang, Edward Grefenstette, Tim Rocktäschel
2023-01-20
Machine Learning · Computer Science
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov +2
2020-09-21
Machine Learning · Computer Science
Rethinking RL Evaluation: Can Benchmarks Truly Reveal Failures of RL Methods?
Zihan Chen, Yiming Zhang, Hengguang Zhou, Zenghui Ding +2
2025-10-14
Machine Learning · Computer Science
Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning
Davide Salaorni, Vincenzo De Paola, Samuele Delpero, Giovanni Dispoto +8
2025-07-02
Machine Learning · Computer Science
Benchmarking Deep Reinforcement Learning for Continuous Control
Yan Duan, Xi Chen, Rein Houthooft, John Schulman +1
2016-05-30
Machine Learning · Computer Science
The RL Perceptron: Generalisation Dynamics of Policy Learning in High Dimensions
Nishil Patel, Sebastian Lee, Stefano Sarao Mannelli, Sebastian Goldt +1
2025-10-02
Machine Learning · Statistics
Reinforcement Learning in Credit Scoring and Underwriting
Seksan Kiatsupaibul, Pakawan Chansiripas, Pojtanut Manopanjasiri, Kantapong Visantavarakul +1
2024-06-28
Machine Learning · Computer Science
Benchmarking Reinforcement Learning via Stochastic Converse Optimality: Generating Systems with Known Optimal Policies
Sinan Ibrahim, Grégoire Ouerdane, Hadi Salloum, Henni Ouerdane +2
2026-03-19