Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
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Updated
Jul 24, 2021 - Python
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
Proximal Policy Optimization (PPO) algorithm for Contra
This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.
PPO, DDPG, SAC implementation on mujoco environment
Proximal Policy Optimization with Tensorflow 2.0
Proximal Policy Optimization (PPO) algorithm for Sonic the Hedgehog
OpenAI's PPO baseline applied to the classic game of Snake
Generative Adversarial Model that generates parse trees
Experiments with multiple reinforcement ML algorithms to learn how to beat Street Fighter II
Teaching a neural network how to write letters and digits with reinforcement learning.
PyTorch application of reinforcement learning Advanced Policy Gradient algorithms in OpenAI BipedalWalker- PPO
A deep reinforcement learning Bot for https://kana.byha.top:444/
PyTorch application of reinforcement learning DDPG and PPO algorithms in Unity 3D-Ball
Proximal Policy Optimization using Pytorch and the Unity Reacher environment.
PPO IMPLEMENTATION ON TENSORFLOW
Clean and flexible implementation of PPO (built on top of stable-baselines3)
World Models Experiments for Duckietown
Training a PPO agent to play chess with pretraining and self-learning using PyTorch Lightning and TorchRL
Reinforcement Learning examples
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