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Mathieu Reymond — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Mathieu Reymond
12
papers ·
9
citations ·
7
h-index
INSEAD
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OpenAlex ↗
Most-cited papers
Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search
2021 · 6 citations
Pareto Conditioned Networks
2022 · 3 citations
Squeezing More from the Stream : Learning Representation Online for Streaming Reinforcement Learning
2026
GRPO-$λ$: Credit Assignment improves LLM Reasoning
2025
CrystalGym: A New Benchmark for Materials Discovery Using Reinforcement Learning
2025
A Generalist Hanabi Agent
2025
Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning
2024
Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning
2021
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning
2022
Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement Learning
2022
Top co-authors
Diederik M. Roijers
· 5
Ann Now\'e
· 4
Patrick Mannion
· 4
Conor F. Hayes
· 3
Enda Howley
· 3
Sarath Chandar
· 3
Antoine Clavaud
· 2
Roxana R\u{a}dulescu
· 2
Arjun V Sudhakar
· 1
Boxing Chen
· 1
Eugenio Bargiacchi
· 1
Fran\c{c}ois Rivest
· 1
Topics
Multi-Agent
Value-Based
Model-Based RL
Game AI
Safe RL
Policy Gradient
RLHF & Alignment
Exploration