CompactionRL: Reinforcement Learning with Context Compaction for Long-Horizon Agents
By Yujiang Li · Paper · cs.LG
Long-horizon agentic LLMs are increasingly limited by finite context windows, as extended interaction trajectories can exceed the maximum context length before a task is completed. Context compaction offers a natural solution by summarizing previous interaction states and continu