CompactionRL: Reinforcement Learning with Context Compaction for Long-Horizon Agents

Yujiang Li, Zhenyu Hou, Yi Jing +2

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.…