continuous-control
There are 96 repositories under continuous-control topic.
ikostrikov/pytorch-a2c-ppo-acktr-gail
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).
opendilab/LightZero
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
rl-tools/rl-tools
The Fastest Deep Reinforcement Learning Library
ikostrikov/jaxrl
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
denisyarats/pytorch_sac
PyTorch implementation of Soft Actor-Critic (SAC)
Omegastick/pytorch-cpp-rl
PyTorch C++ Reinforcement Learning
ikostrikov/pytorch-trpo
PyTorch implementation of Trust Region Policy Optimization
chingyaoc/pytorch-REINFORCE
PyTorch Implementation of REINFORCE for both discrete & continuous control
openai/EPG
Code for the paper "Evolved Policy Gradients"
m5823779/motion-planner-reinforcement-learning
End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo
andrewliao11/gail-tf
Tensorflow implementation of generative adversarial imitation learning
zhihanyang2022/off-policy-continuous-control
Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)
andrewliao11/pytorch-a3c-mujoco
Implement A3C for Mujoco gym envs
fshamshirdar/pytorch-rdpg
PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)
Scitator/catalyst-rl-framework
Catalyst.RL: A Distributed Framework for Reproducible RL Research
simionsoft/SimionZoo
A workbench for online model-free Reinforcement Learning on continuous control problems
LQNew/Continuous_Control_Benchmark
Benchmark data (i.e., DeepMind Control Suite and MuJoCo) for RL.
alirezakazemipour/Continuous-PPO
Proximal Policy Optimization (Continuous Version) in PyTorch.
BY571/Normalized-Advantage-Function-NAF-
PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method
aidanscannell/dcmpc
Official PyTorch implementation of "DC-MPC: Discrete Codebook Model Predictive Control"
mknbv/neuralode-rl
Neural Ordinary Differential Equations for Reinforcement Learning
onlytailei/pytorch-rl
Deep Reinforcement Learning with pytorch & visdom (the branch for A3C continuous control)
hcnoh/rl-collection-pytorch
A collection of Reinforcement Learning implementations with PyTorch
Akella17/Deep-Bayesian-Quadrature-Policy-Optimization
Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.
LQNew/LWDRLC
Lightweight deep RL Libraray for continuous control.
MahanFathi/HJxB
Continuous-Time/State/Action Fitted Value Iteration via Hamilton-Jacobi-Bellman (HJB)
BackpropTools/BackpropTools
A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
exajobs/ci-cd-collection
An ongoing curated list of awesome frameworks, important books, articles, talks, libraries, learning tutorials, best practices and technical resources about Continuous Integration & Continuous Delivery.
kinwo/deeprl-continuous-control
Learning Continuous Control in Deep Reinforcement Learning
sparisi/tensorl
Simple and self-contained TensorFlow implementation of reinforcement learning algorithms for continuous control, integrated with OpenAI Gym and other physics engines.
zhengfeiwang/NeurIPS2018-AIforProsthetics
Reinforcement learning with musculoskeletal models
angel-ayala/webots-fire-scene
A first approach for fire and smoke simulation Webots world to control a drone, manipulating its angles and thrust.
kad99kev/EHCSTLDRL
Enhancing HVAC Control Systems through Transfer Learning with Deep Reinforcement Learning Agents
rupertbg/YES3
Whitelist intentionally-public buckets, block everything else
nalbert9/Deep_Reinforcement_Learning
Train agents to walk, drive by themself using Unity ML Agent, OpenAI Gym and PyTorch
SSubhnil/BAC-DAC-gym
Bayesian Actor-Critic with Neural Networks. Developing an OpenAI Gym toolkit for Bayesian AC reinforcement learning.