Reinforcement learning tutorials
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Updated
Mar 25, 2023 - Python
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.
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
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
Own researches in reinforcement learning using openai-gym.
BipedalWalker-V2 on varying terrains, with morphology adaptation
Remember the sad Marvin from "Hitchhiker's guide to the galaxy"? In this project we train him to walk from the scratch using only pure python with numpy!
Using deep deterministic policy gradients for continuous control of a bipedal system
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