Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment
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Updated
Jun 7, 2019 - Python
Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment
BipedalWalker-V2 on varying terrains, with morphology adaptation
A PLEN2 Robot learns to walk using Twin-Delayed Deep Deterministic Policy Gradient in Gazebo and PyBullet with a custom OpenAI Gym interface
Solving openAI's game 'BipedalWalker-v2' with Deep Reinforcement Learning
Using deep deterministic policy gradients for continuous control of a bipedal system
Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation
Solving OpenAI Gym problems.
Usage of genetic algorithms to train a neural network in multiple OpenAI gym environments.
Programmatically Interpretable Reinforcement Learning
Utilizes Q-learning, DQN, and TD3 reinforcement learning algorithms to teach BipedalWalker to walk
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.
Neural network and Reinforcement learning algorithms for the Bipedal Walker problem
Own researches in reinforcement learning using openai-gym.
ROS-based BD1 droid from Star Wars The Fallen Order
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!
This is a Biped simulated on pybullet physics engine, walking
Proximal Policy Optimization method in Pytorch
[MATLAB] Various Passive Dynamic Walking Robot Simulation Code!
An ESP32 + Python controlled biped robot powered by servo motors.
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