Theoretical Study of Conflict-Avoidant Multi-Objective Reinforcement Learning

Yudan Wang, Peiyao Xiao, Hao Ban +2

Multi-task reinforcement learning (MTRL) has shown great promise in many real-world applications. Existing MTRL algorithms often aim to learn a policy that optimizes individual obj…