Train Multiple Agent Roles Within a Single LLM via Reinforcement Learning with Process Reward. MATPO-PR is an upgraded implementation of MATPO. GAIA, FRAMES, WebWalkerQA Results Visualization of ...
A codebase for reproducing FPQC-SAC experiments: a hybrid quantum-classical Soft Actor-Critic agent with a parametrized quantum circuit feature bottleneck, built on a FinRL-compatible training stack.
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