Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork 事件

Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork arXiv:2605.24423v1 Announce Type: new Abstract: In-Context Reinforcement Learning (ICRL) has enabled foundation agents to adapt instantaneously to novel tasks, yet its efficacy in Ad-Hoc Teamwork (AHT)-where coordination with unknown partners is required-remains unexplored. To rigorously evaluate this, we introduce a large-scale benchmark ICRL4AHT, built upon a high-throughput JAX implementation of Overcooked-V2. O