四川麻将强化学习:定缺、换三张、27 张牌无吃,沿用上饶麻将框架与 PPO2 训练流程
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Updated
Oct 29, 2026 - Python
四川麻将强化学习:定缺、换三张、27 张牌无吃,沿用上饶麻将框架与 PPO2 训练流程
上饶麻将强化学习:Suphx 式牌面特征 + PPO2 + 自定义 ResNet 策略,专家数据对抗训练
Clean and flexible implementation of PPO (built on top of stable-baselines3)
Training a PPO agent to play chess with pretraining and self-learning using PyTorch Lightning and TorchRL
Reinforcement Learning examples
World Models Experiments for Duckietown
World Models Experiments for Duckietown
PPO IMPLEMENTATION ON TENSORFLOW
Reinforcement Learning in Super Mario using Pytorch and PPO
Proximal Policy Optimization using Pytorch and the Unity Reacher environment.
PyTorch application of reinforcement learning DDPG and PPO algorithms in Unity 3D-Ball
Teaching a neural network how to write letters and digits with reinforcement learning.
Generative Adversarial Model that generates parse trees
PyTorch application of reinforcement learning Advanced Policy Gradient algorithms in OpenAI BipedalWalker- PPO
A deep reinforcement learning Bot for https://kana.byha.top:444/
Experiments with multiple reinforcement ML algorithms to learn how to beat Street Fighter II
OpenAI's PPO baseline applied to the classic game of Snake
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