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cs.LG2025
Preference-Guided Learning for Sparse-Reward Multi-Agent Reinforcement Learning
The Viet Bui, Tien Mai, Hong Thanh Nguyen
We study the problem of online multi-agent reinforcement learning (MARL) in environments with sparse rewards, where reward feedback is not provided at each interaction but only rev…
cs.LG2025
MisoDICE: Multi-Agent Imitation from Unlabeled Mixed-Quality Demonstrations
The Viet Bui, Tien Mai, Hong Thanh Nguyen
We study offline imitation learning (IL) in cooperative multi-agent settings, where demonstrations have unlabeled mixed quality - containing both expert and suboptimal trajectories…
cs.LG2025
O-MAPL: Offline Multi-agent Preference Learning
The Viet Bui, Tien Mai, Hong Thanh Nguyen
Inferring reward functions from demonstrations is a key challenge in reinforcement learning (RL), particularly in multi-agent RL (MARL), where large joint state-action spaces and c…