Title
Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis James Rudd-Jones Mirco Musolesi María Pérez-Ortiz 34 0 0 17 Apr 2025
SocialJax: An Evaluation Suite for Multi-agent Reinforcement Learning in Sequential Social Dilemmas Zihao Guo Richard Willis Richard Willis Tristan Tomilin Joel Z Leibo Yali Du 55 0 0 18 Mar 2025
Can Learned Optimization Make Reinforcement Learning Less Difficult? Alexander David Goldie Chris Xiaoxuan Lu Matthew Jackson Shimon Whiteson Jakob N. Foerster 42 3 0 09 Jul 2024
Simplifying Deep Temporal Difference Learning Matteo Gallici Mattie Fellows Benjamin Ellis B. Pou Ivan Masmitja Jakob Foerster Mario Martin OffRL 62 14 0 05 Jul 2024
Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent Yingru Li Jiawei Xu Lei Han Zhi-Quan Luo BDL OffRL 26 6 0 05 Feb 2024
EduGym: An Environment and Notebook Suite for Reinforcement Learning Education Thomas M. Moerland Matthias Muller-Brockhausen Zhao Yang Andrius Bernatavicius Koen Ponse Tom Kouwenhoven Andreas Sauter Michiel van der Meer Bram M. Renting Aske Plaat OffRL 28 0 0 17 Nov 2023
Real-Time Recurrent Reinforcement Learning Julian Lemmel Radu Grosu 28 1 0 08 Nov 2023
Intrinsic Language-Guided Exploration for Complex Long-Horizon Robotic Manipulation Tasks Wenke Huang Filippos Christianos Zhibin Li 34 8 0 28 Sep 2023
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning Outongyi Lv Bingxin Zhou OffRL 41 0 0 05 Jul 2023
Diverse Projection Ensembles for Distributional Reinforcement Learning Moritz A. Zanger Wendelin Bohmer M. Spaan 25 4 0 12 Jun 2023
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo Haque Ishfaq Qingfeng Lan Pan Xu A. R. Mahmood Doina Precup Anima Anandkumar Kamyar Azizzadenesheli BDL OffRL 28 20 0 29 May 2023
Sample Efficient Deep Reinforcement Learning via Local Planning Dong Yin S. Thiagarajan N. Lazić Nived Rajaraman Botao Hao Csaba Szepesvári 22 4 0 29 Jan 2023
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function Clément Bonnet Laurence Midgley Alexandre Laterre 24 1 0 19 Nov 2022
Hardness in Markov Decision Processes: Theory and Practice Michelangelo Conserva Paulo E. Rauber 26 3 0 24 Oct 2022
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter Aleksandar Stanić Yujin Tang David R Ha Jürgen Schmidhuber ELM 29 13 0 05 Aug 2022
Incorporating Explicit Uncertainty Estimates into Deep Offline Reinforcement Learning David Brandfonbrener Rémi Tachet des Combes Romain Laroche OffRL 34 5 0 02 Jun 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 23 324 0 02 May 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 33 100 0 11 Jan 2022
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 41 23 0 05 Oct 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan Robert Kirk Vitaly Kurin Jack Parker-Holder Minqi Jiang Eric Hambro Fabio Petroni Heinrich Küttler Edward Grefenstette Tim Rocktaschel OffRL 238 89 0 27 Sep 2021
On Bonus-Based Exploration Methods in the Arcade Learning Environment Adrien Ali Taïga W. Fedus Marlos C. Machado Aaron Courville Marc G. Bellemare 16 58 0 22 Sep 2021
Benchmarking the Spectrum of Agent Capabilities Danijar Hafner ELM 24 127 0 14 Sep 2021
Strategically Efficient Exploration in Competitive Multi-agent Reinforcement Learning R. Loftin Aadirupa Saha Sam Devlin Katja Hofmann 30 5 0 30 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning Nan Rosemary Ke Aniket Didolkar Sarthak Mittal Anirudh Goyal Guillaume Lajoie Stefan Bauer Danilo Jimenez Rezende Yoshua Bengio Michael C. Mozer C. Pal CML 29 54 0 02 Jul 2021
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 25 778 0 12 Jun 2021
On Instrumental Variable Regression for Deep Offline Policy Evaluation Yutian Chen Liyuan Xu Çağlar Gülçehre T. Paine A. Gretton Nando de Freitas Arnaud Doucet OffRL 39 18 0 21 May 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL Clément Romac Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer 27 21 0 17 Mar 2021
Regularized Behavior Value Estimation Çağlar Gülçehre Sergio Gomez Colmenarejo Ziyun Wang Jakub Sygnowski T. Paine Konrad Zolna Yutian Chen Matthew W. Hoffman Razvan Pascanu Nando de Freitas OffRL 23 37 0 17 Mar 2021
Reinforcement Learning, Bit by Bit Xiuyuan Lu Benjamin Van Roy Vikranth Dwaracherla M. Ibrahimi Ian Osband Zheng Wen 30 70 0 06 Mar 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 20 14 0 18 Feb 2021
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 202 81 0 16 Feb 2021
Geometric Entropic Exploration Z. Guo M. G. Azar Alaa Saade S. Thakoor Bilal Piot Bernardo Avila-Pires Michal Valko Thomas Mesnard Tor Lattimore Rémi Munos 30 30 0 06 Jan 2021
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research J. Obando-Ceron Pablo Samuel Castro OffRL 9 105 0 20 Nov 2020
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning Ossama Ahmed Frederik Trauble Anirudh Goyal Alexander Neitz Yoshua Bengio Bernhard Schölkopf M. Wuthrich Stefan Bauer CML 27 120 0 08 Oct 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 51 225 0 01 Jun 2020
Evolving Neural Networks through a Reverse Encoding Tree Haoling Zhang Chao-Han Huck Yang Hector Zenil N. Kiani Yue-Hong Shen Jesper N. Tegnér 11 5 0 03 Feb 2020
Making Sense of Reinforcement Learning and Probabilistic Inference Brendan O'Donoghue Ian Osband Catalin Ionescu OffRL 16 47 0 03 Jan 2020
Leveraging Procedural Generation to Benchmark Reinforcement Learning K. Cobbe Christopher Hesse Jacob Hilton John Schulman 22 541 0 03 Dec 2019
OpenSpiel: A Framework for Reinforcement Learning in Games Marc Lanctot Edward Lockhart Jean-Baptiste Lespiau V. Zambaldi Satyaki Upadhyay ... Julian Schrittwieser Thomas W. Anthony Edward Hughes Ivo Danihelka Jonah Ryan-Davis OffRL 22 248 0 26 Aug 2019