Agentic RL may be modeled as partial proxy of active inference
Liu_eroteme · x · 2026-08-25
The post suggests that agentic reinforcement learning on a pretrained LM can be modeled as a partial proxy of active inference. This theoretical framework could help define a theoretical ceiling on agent performance and predict the learning limits of in-context learning (ICL).
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