Research output per year
Research output per year
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Dive into the research topics where Mathieu Reymond is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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A Practical Guide to Multi-Objective Reinforcement Learning and Planning
Hayes, C. F., Radulescu, R., Bargiacchi, E., Källström, J., Macfarlane, M., Reymond, M., Verstraeten, T., Zintgraf, L., Dazeley, R., Heintz, F., Howley, E., Irissappane, A. A., Mannion, P., Nowe, A., De Oliveira Ramos, G., Restelli, M., Vamplew, P. & Roijers, D. M., 13 Apr 2022, In: Autonomous Agents and Multi-Agent Systems. 36, 1, 59 p., 26.Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Citations (Scopus)39 Downloads (Pure) -
Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning
Avalos, R., Reymond, M., Nowe, A. & Roijers, D. M., 9 May 2022, (Accepted/In press) The 21st International Conference on Autonomous Agents and Multiagent Systems: Extended Abstract. IFAAMASResearch output: Chapter in Book/Report/Conference proceeding › Conference paper
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Near On-Policy Experience Sampling in Multi-Objective Reinforcement Learning
Wang, S., Reymond, M., Irissappane, A. A. & Roijers, D. M., 9 May 2022, (Accepted/In press) The 21st International Conference on Autonomous Agents and Multiagent Systems. IFAAMASResearch output: Chapter in Book/Report/Conference proceeding › Conference paper
File138 Downloads (Pure) -
Pareto Conditioned Networks
Reymond, M., Bargiacchi, E. & Nowe, A., 9 May 2022, (Accepted/In press) The 21st International Conference on Autonomous Agents and Multiagent Systems. IFAAMASResearch output: Chapter in Book/Report/Conference proceeding › Conference paper
File7 Downloads (Pure) -
Distributional Monte Carlo Tree Search for Risk-Aware and Multi-Objective Reinforcement Learning
Hayes, C. F., Reymond, M., Roijers, D. M., Howley, E. & Mannion, P., 3 May 2021, The 20th International Conference on Autonomous Agents and Multiagent Systems. IFAAMAS, p. 1518-1520 3 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 3).Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open Access3 Citations (Scopus)
Activities
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Actor-Critic Multi-Objective Reinforcement Learning for Non-Linear Utility Functions
Mathieu Reymond (Speaker)
14 Jul 2021 → 16 Jul 2021Activity: Talk or presentation › Talk or presentation at a workshop/seminar
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The 20th International Conference on Autonomous Agents and Multiagent Systems
Mathieu Reymond (Participant)
3 May 2021 → 7 May 2021Activity: Participating in or organising an event › Participation in conference
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Multi-Objective Decision Making Workshop 2021
Mathieu Reymond (Member of programme committee)
14 Jul 2021 → 16 Jul 2021Activity: Participating in or organising an event › Participation in workshop, seminar
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Adaptive and Learning Agents Workshop 2021
Mathieu Reymond (Member of programme committee)
3 May 2021 → 4 May 2021Activity: Participating in or organising an event › Participation in workshop, seminar
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Multi-objective reinforcement learning for non-linear utility functions
Mathieu Reymond (Speaker)
3 Jan 2020Activity: Talk or presentation › Talk or presentation at a workshop/seminar