5 papers
Explicit Credit Assignment through Local Rewards and Dependence Graphs in Multi-Agent Reinforcement Learning
Bang Giang Le, Viet Cuong Ta
To promote cooperation in Multi-Agent Reinforcement Learning, the reward signals of all agents can be aggregated together, forming global rewards that are commonly known as the ful…
Low Variance Trust Region Optimization with Independent Actors and Sequential Updates in Cooperative Multi-agent Reinforcement Learning
Bang Giang Le, Viet Cuong Ta
Cooperative multi-agent reinforcement learning assumes each agent shares the same reward function and can be trained effectively using the Trust Region framework of single-agent. I…
Resolve Highway Conflict in Multi-Autonomous Vehicle Controls with Local State Attention
Xuan Duy Ta, Bang Giang Le, Thanh Ha Le +1
In mixed-traffic environments, autonomous vehicles must adapt to human-controlled vehicles and other unusual driving situations. This setting can be framed as a multi-agent reinfor…
Enhance Exploration in Safe Reinforcement Learning with Contrastive Representation Learning
Duc Kien Doan, Bang Giang Le, Viet Cuong Ta
In safe reinforcement learning, agent needs to balance between exploration actions and safety constraints. Following this paradigm, domain transfer approaches learn a prior Q-funct…
Toward Finding Strong Pareto Optimal Policies in Multi-Agent Reinforcement Learning
Bang Giang Le, Viet Cuong Ta
In this work, we study the problem of finding Pareto optimal policies in multi-agent reinforcement learning problems with cooperative reward structures. We show that any algorithm…