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Stable Baselines3

원문: stable-baselines3

Use this skill for reinforcement learning tasks including training RL agents (PPO, SAC, DQN, TD3, DDPG, A2C, etc.), creating custom Gym environments, implementing callbacks for monitoring and control, using vectorized environments for parallel training, and integrating with deep

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Stable Baselines3 Overview Stable Baselines3 (SB3) is a PyTorch based library providing reliable implementations of reinforcement learning algorithms. This skill provides comprehensive guidance for training RL agents, creating custom environments, implementing callbacks, and optimizing training workflows using SB3's unified API. Core Capabilities 1. Training RL Agents Basic Training Pattern: Important Notes: total timesteps is a lower bound; actual training may exceed this due to batch collection Use model.load() as a static method, not on an existing instance The replay buffer is NOT saved with the model to save space Algorithm Selection: Use references/algorithms.md for detailed algorithm

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