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reinforcement-learning-agents

reinforcement-learning-agents

Design and train reinforcement learning agents — environment setup, reward shaping, policy gradient methods, and evaluation.

Independent GitHub snapshot · Automated classification · Original documentation governs

Aa5c-ai / babysitterMIT

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name: reinforcement-learning-agents description: Design and train reinforcement learning agents — environment setup, reward shaping, policy gradient methods, and evaluation. allowed-tools: Read, Write, Edit, Bash, Glob, Grep graph: domains: [domain:machine-learning] specializations: [specialization:data-science-ml, specialization:ai-agents-conversational] skillAreas: [skill-area:reinforcement-learning-agents] roles: [role:ml-engineer]

Reinforcement Learning-based Agents Skill

Stub — implementation pending.

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