FIELD NOTES TOPIC
agent training
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EnvACE: Internalizing Environment Dynamics via World Rehearsal for Agentic Reinforcement Learning
The paper introduces EnvACE, a method for training large language model agents for long-term tool use without relying on interactions with real or synthesized environments, which can be costly to construct and verify…
