Own researches in reinforcement learning using openai-gym.
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Updated
Jul 27, 2021 - Python
Own researches in reinforcement learning using openai-gym.
Neural network and Reinforcement learning algorithms for the Bipedal Walker problem
PyTorch application of reinforcement learning Advanced Policy Gradient algorithms in OpenAI BipedalWalker- PPO
BipedalWalker-V2 on varying terrains, with morphology adaptation
ROS-based BD1 droid from Star Wars The Fallen Order
Q-Learning, Actor-Critics, Proximal-Policy Optimization reinforcement learning algorithms in bipedal walker-v2 environment
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
This is a Biped simulated on pybullet physics engine, walking
Proximal Policy Optimization method in Pytorch
An ESP32 + Python controlled biped robot powered by servo motors.
Programmatically Interpretable Reinforcement Learning
Utilizes Q-learning, DQN, and TD3 reinforcement learning algorithms to teach BipedalWalker to walk
Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation
Solving openAI's game 'BipedalWalker-v2' with Deep Reinforcement Learning
Usage of genetic algorithms to train a neural network in multiple OpenAI gym environments.
A PLEN2 Robot learns to walk using Twin-Delayed Deep Deterministic Policy Gradient in Gazebo and PyBullet with a custom OpenAI Gym interface
Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment
Solving OpenAI Gym problems.
Reinforcement learning tutorials
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