There are 2 repositories under continuous-control 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).
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
PyTorch C++ Reinforcement Learning
PyTorch implementation of Soft Actor-Critic (SAC)
PyTorch implementation of Trust Region Policy Optimization
PyTorch Implementation of REINFORCE for both discrete & continuous control
Tensorflow implementation of generative adversarial imitation learning
End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo
Implement A3C for Mujoco gym envs
Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)
PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)
Catalyst.RL: A Distributed Framework for Reproducible RL Research
A workbench for online model-free Reinforcement Learning on continuous control problems
Benchmark data (i.e., DeepMind Control Suite and MuJoCo) for RL.
Deep Reinforcement Learning with pytorch & visdom (the branch for A3C continuous control)
PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method
Proximal Policy Optimization (Continuous Version) in PyTorch.
Neural Ordinary Differential Equations for Reinforcement Learning
Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.
Learning Continuous Control in Deep Reinforcement Learning
A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
A collection of Reinforcement Learning implementations with PyTorch
Continuous-Time/State/Action Fitted Value Iteration via Hamilton-Jacobi-Bellman (HJB)
A first approach for fire and smoke simulation Webots world to control a drone, manipulating its angles and thrust.
Reinforcement learning with musculoskeletal models
Train agents to walk, drive by themself using Unity ML Agent, OpenAI Gym and PyTorch
This repository provides a simulation of 4-Room-World environment.
Bayesian Actor-Critic with Neural Networks. Developing an OpenAI Gym toolkit for Bayesian AC reinforcement learning.
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