Dam, Tuan Quang

6 publications

ICML 2025 Monte-Carlo Tree Search with Uncertainty Propagation via Optimal Transport Tuan Quang Dam, Pascal Stenger, Lukas Schneider, Joni Pajarinen, Carlo D’Eramo, Odalric-Ambrym Maillard

ICML 2025 Online Robust Reinforcement Learning Through Monte-Carlo Planning Tuan Quang Dam, Kishan Panaganti, Brahim Driss, Adam Wierman

NeurIPS 2025 Optimal Regret Bounds via Low-Rank Structured Variation in Non-Stationary Reinforcement Learning Tuan Quang Dam

ICML 2025 Power Mean Estimation in Stochastic Continuous Monte-Carlo Tree Search Tuan Quang Dam

ICMLW 2024 Distributional Monte-Carlo Planning with Thompson Sampling in Stochastic Environments Tuan Quang Dam, Brahim Driss, Odalric-Ambrym Maillard

ICMLW 2024 Power Mean Estimation in Stochastic Monte-Carlo Tree Search Tuan Quang Dam, Odalric-Ambrym Maillard, Emilie Kaufmann