World Models Experiments for Duckietown
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Updated
Sep 8, 2021 - Python
World Models Experiments for Duckietown
Clean and flexible implementation of PPO (built on top of stable-baselines3)
Reinforcement Learning examples
World Models Experiments for Duckietown
Proximal Policy Optimization using Pytorch and the Unity Reacher environment.
PPO IMPLEMENTATION ON TENSORFLOW
Reinforcement Learning in Super Mario using Pytorch and PPO
PyTorch application of reinforcement learning DDPG and PPO algorithms in Unity 3D-Ball
PyTorch application of reinforcement learning Advanced Policy Gradient algorithms in OpenAI BipedalWalker- PPO
A deep reinforcement learning Bot for https://kana.byha.top:444/
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
Generative Adversarial Model that generates parse trees
Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.
OpenAI's PPO baseline applied to the classic game of Snake
Proximal Policy Optimization (PPO) algorithm for Sonic the Hedgehog
Proximal Policy Optimization with Tensorflow 2.0
PPO, DDPG, SAC implementation on mujoco environment
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