Training a PPO agent to play chess with pretraining and self-learning using PyTorch Lightning and TorchRL
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Updated
Aug 22, 2024 - Python
Training a PPO agent to play chess with pretraining and self-learning using PyTorch Lightning and TorchRL
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
PPO IMPLEMENTATION ON TENSORFLOW
Proximal Policy Optimization using Pytorch and the Unity Reacher environment.
Clean and flexible implementation of PPO (built on top of stable-baselines3)
Teaching a neural network how to write letters and digits with reinforcement learning.
Experiments with multiple reinforcement ML algorithms to learn how to beat Street Fighter II
Reinforcement Learning examples
PyTorch application of reinforcement learning DDPG and PPO algorithms in Unity 3D-Ball
OpenAI's PPO baseline applied to the classic game of Snake
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
Generative Adversarial Model that generates parse trees
A deep reinforcement learning Bot for https://kana.byha.top:444/
World Models Experiments for Duckietown
World Models Experiments for Duckietown
PyTorch application of reinforcement learning Advanced Policy Gradient algorithms in OpenAI BipedalWalker- PPO
Proximal Policy Optimization (PPO) algorithm for Sonic the Hedgehog
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