32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
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Updated
Jun 17, 2021 - Jupyter Notebook
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
Reinforcement learning tutorials
Solving OpenAI Gym problems.
Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment
Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation
Usage of genetic algorithms to train a neural network in multiple OpenAI gym environments.
Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control
Solving openAI's game 'BipedalWalker-v2' with Deep Reinforcement Learning
A PLEN2 Robot learns to walk using Twin-Delayed Deep Deterministic Policy Gradient in Gazebo and PyBullet with a custom OpenAI Gym interface
Programmatically Interpretable Reinforcement Learning
This is a Biped simulated on pybullet physics engine, walking
Utilizes Q-learning, DQN, and TD3 reinforcement learning algorithms to teach BipedalWalker to walk
ROS-based BD1 droid from Star Wars The Fallen Order
Proximal Policy Optimization method in Pytorch
[MATLAB] Various Passive Dynamic Walking Robot Simulation Code!
An ESP32 + Python controlled biped robot powered by servo motors.
PyTorch application of reinforcement learning Advanced Policy Gradient algorithms in OpenAI BipedalWalker- PPO
Neural network and Reinforcement learning algorithms for the Bipedal Walker problem
Q-Learning, Actor-Critics, Proximal-Policy Optimization reinforcement learning algorithms in bipedal walker-v2 environment
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