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    OpenClaw-RL

    OpenClaw-RL

    Train any agents simply by 'talking'

    ...The system incorporates reinforcement learning techniques to refine the agent’s policies for tool use, decision making, and task completion over time. It also explores approaches such as online policy distillation and hindsight feedback signals to strengthen training signals from real interactions. The framework operates asynchronously and does not require external API keys, making it easier to experiment with local agent training workflows.
    Downloads: 2 This Week
    Last Update:
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