First framework integrating RL with search-based planning for lifelong MAPF

Analysis reveals bottleneck in RL environment creation, proposing shift to distributed bounty systems

Researchers develop a novel multi-level meta-reinforcement learning framework for hierarchical task mastery

Researchers publish a minimax optimal algorithm for RL with delayed state observations, achieving provably optimal regret bounds.