一些簡單的遊戲,用來驗證強化學習中使用動作遮罩的效果及影響
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Updated
Jul 22, 2021 - Python
一些簡單的遊戲,用來驗證強化學習中使用動作遮罩的效果及影響
Implementation of a multiprocessing Proximal Policy Optimization (PPO) algorithm on the BidepalWalker OpenAI Gym environment.
Policy based Reinforcement Learning techniques with REINFORCE and Actor Critic, applied to OpenAI's gym environments.
This repo implements the REINFORCE algorithm for solving the Cart Pole V1 environment of the Gymnasium library using Python 3.8 and PyTorch 2.0.1.
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