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2020 – today
- 2024
[j1]Florian Felten
, El-Ghazali Talbi, Grégoire Danoy:
Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework. J. Artif. Intell. Res. 79: 679-723 (2024)- [i4]Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João G. M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, Arjun KG, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi:
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning. CoRR abs/2402.03046 (2024) - [i3]Florian Felten, Umut Ucak, Hicham Azmani, Gao Peng, Willem Röpke, Hendrik Baier, Patrick Mannion, Diederik M. Roijers, Jordan K. Terry, El-Ghazali Talbi, Grégoire Danoy, Ann Nowé, Roxana Radulescu:
MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning. CoRR abs/2407.16312 (2024) - 2023
- [c2]Florian Felten, Lucas N. Alegre, Ann Nowé, Ana L. C. Bazzan, El-Ghazali Talbi, Grégoire Danoy, Bruno C. da Silva:
A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning. NeurIPS 2023 - [i2]Florian Felten, Daniel Gareev, El-Ghazali Talbi, Grégoire Danoy:
Hyperparameter Optimization for Multi-Objective Reinforcement Learning. CoRR abs/2310.16487 (2023) - [i1]Florian Felten, El-Ghazali Talbi, Grégoire Danoy:
Multi-Objective Reinforcement Learning based on Decomposition: A taxonomy and framework. CoRR abs/2311.12495 (2023) - 2022
- [c1]Florian Felten, Grégoire Danoy, El-Ghazali Talbi, Pascal Bouvry:
Metaheuristics-based Exploration Strategies for Multi-Objective Reinforcement Learning. ICAART (2) 2022: 662-673
Coauthor Index
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