3 papers
cs.LG2023
Inverse Factorized Q-Learning for Cooperative Multi-agent Imitation Learning
The Viet Bui, Tien Mai, Thanh Hong Nguyen
This paper concerns imitation learning (IL) (i.e, the problem of learning to mimic expert behaviors from demonstrations) in cooperative multi-agent systems. The learning problem un…
cs.LG2023
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Competitive Games
The Viet Bui, Tien Mai, Thanh Hong Nguyen
Training agents in multi-agent competitive games presents significant challenges due to their intricate nature. These challenges are exacerbated by dynamics influenced not only by…
cs.LG2022
Weighted Maximum Entropy Inverse Reinforcement Learning
The Viet Bui, Tien Mai, Patrick Jaillet
We study inverse reinforcement learning (IRL) and imitation learning (IM), the problems of recovering a reward or policy function from expert's demonstrated trajectories. We propos…