Provable Transformer Context Compression for In-Context Reinforcement Learning.

arXiv:2610.20004v1 Announce Type: cross Abstract: Transformers can perform in-context reinforcement learning without parameter updates. However, existing theoretical constructions often require context sizes that grow with the number of sampled transitions, le