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50 public repositories
matching this topic...
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Updated
Mar 3, 2020
Python
PyTorch implementation of Trust Region Policy Optimization
Updated
Sep 13, 2018
Python
Code for the paper "Evolved Policy Gradients"
Updated
Nov 22, 2018
Python
PyTorch Implementation of REINFORCE for both discrete & continuous control
Updated
Apr 16, 2017
Python
Tensorflow implementation of generative adversarial imitation learning
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Apr 23, 2018
Python
PyTorch implementation of Soft Actor-Critic (SAC)
Updated
Jan 25, 2020
Python
Implement A3C for Mujoco gym envs
Updated
Nov 2, 2017
Python
A workbench for online model-free Reinforcement Learning on continuous control problems
Deep Reinforcement Learning with pytorch & visdom (the branch for A3C continuous control)
Updated
Oct 9, 2017
Python
Catalyst.RL: A Distributed Framework for Reproducible RL Research
Updated
Mar 17, 2019
Python
End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo
Updated
Jul 20, 2019
Python
PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)
Updated
Nov 27, 2019
Python
Learning Continuous Control in Deep Reinforcement Learning
Updated
Nov 24, 2018
HTML
Simple and self-contained TensorFlow implementation of reinforcement learning algorithms for continuous control, integrated with OpenAI Gym and other physics engines.
Updated
Sep 14, 2019
Python
Whitelist intentionally-public buckets, block everything else
Updated
Aug 2, 2019
Python
RLbox: Solving OpenAI Gym with TensorFlow
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Apr 19, 2018
Python
Reinforcement learning with musculoskeletal models
Updated
Dec 31, 2018
Python
Neural Ordinary Differential Equations for Reinforcement Learning
Updated
Jun 2, 2019
Python
This repository provides a simulation of 4-Room-World environment.
Updated
Aug 22, 2018
Python
A Jitterbug dm_control Reinforcement Learning domain
Updated
Mar 2, 2020
Jupyter Notebook
TensorFlow Implementation of Deep Deterministic Policy Gradients for Continuous OpenAI Gym Environments
Updated
Oct 26, 2017
Python
Continuous Control using DDPG Algorithm
Updated
Oct 22, 2018
HTML
Implementation of the DDPG algorithm to solve Continuous Control Reacher Environment
Updated
Jan 26, 2019
Jupyter Notebook
Implementation of Deep RL algorithms for continuous-control tasks
Updated
May 26, 2020
Python
Updated
Jun 11, 2018
Roff
Udacity Deep Reinforcement Learning Nanodegree Program - Collaboration Continuous Control
Deep Reinforcement Learning: Train agents to walk, drive.. by themself using Unity ML Agent, OpenAI Gym and PyTorch
Updated
Mar 6, 2020
Python
Deep Reinforcement Learning Projects
Updated
Oct 25, 2019
Jupyter Notebook
Implement PPO to solve Crawler problem in Unity
Updated
Mar 31, 2020
Python
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Some time around ae030395f56efca50a51335fe4f3367caf950066 we regressed and the example code in
gym_client.cppdoesn't converge any more. Presumably because of some difference in our observation normalization compared to the OpenAI Baselines one.I'll look in more detail this weekend and confirm if it's that exact commit causing the problem.