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continuous-control

Here are 129 public repositories matching this 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).

Updated May 29, 2022
Python

opendilab / LightZero

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

Updated Aug 28, 2026
Python

rl-tools

rl-tools / rl-tools

The Fastest Deep Reinforcement Learning Library

reinforcement-learning deep-learning cpp robotics continuous-control mujoco tinyml tinyrl

Updated Jul 4, 2026
C++

ikostrikov / jaxrl

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

reinforcement-learning deep-learning deep-reinforcement-learning gym flax behavioral-cloning sac continuous-control deep-deterministic-policy-gradient jax soft-actor-critic offline-reinforcement-learning batch-reinforcement-learning

Updated Oct 26, 2022
Jupyter Notebook

denisyarats / pytorch_sac

PyTorch implementation of Soft Actor-Critic (SAC)

reinforcement-learning deep-learning deep-reinforcement-learning pytorch gym sac continuous-control actor-critic mujoco dm-control soft-actor-critic d4pg

Updated Dec 5, 2021
Jupyter Notebook

Omegastick / pytorch-cpp-rl

PyTorch C++ Reinforcement Learning

reinforcement-learning cplusplus cpp pytorch reinforcement-learning-algorithms continuous-control actor-critic pytorch-rl proximal-policy-optimization ppo advantage-actor-critic a2c libtorch pytorch-cpp-frontend

Updated May 3, 2020
C++

ikostrikov / pytorch-trpo

PyTorch implementation of Trust Region Policy Optimization

reinforcement-learning deep-learning deep-reinforcement-learning pytorch continuous-control trpo mujoco trust-region-policy-optimization

Updated Sep 13, 2018
Python

chingyaoc / pytorch-REINFORCE

PyTorch Implementation of REINFORCE for both discrete & continuous control

reinforcement-learning pytorch gym reinforce continuous-control mujoco

Updated Apr 16, 2017
Python

openai / EPG

Code for the paper "Evolved Policy Gradients"

machine-learning reinforcement-learning paper evolutionary-strategy continuous-control meta-learning

Updated Nov 22, 2018
Python

m5823779 / motion-planner-reinforcement-learning

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

deep-learning neural-network navigation tensorflow deep-reinforcement-learning gazebo ddpg continuous-control ros-kinetic motion-planner deep-deterministic-policy-gradient turtlebot3

Updated Nov 23, 2022
Python

andrewliao11 / gail-tf

Tensorflow implementation of generative adversarial imitation learning

reinforcement-learning tensorflow generative-adversarial-network imitation-learning inverse-reinforcement-learning continuous-control trpo gail

Updated Apr 23, 2018
Python

zhihanyang2022 / off-policy-continuous-control

Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)

reinforcement-learning pytorch continuous-control actor-critic rdpg recurrent-neural-network off-policy rtd3 rsac

Updated Nov 21, 2023
Python

andrewliao11 / pytorch-a3c-mujoco

Implement A3C for Mujoco gym envs

reinforcement-learning pytorch a3c continuous-control actor-critic mujoco

Updated Nov 2, 2017
Python

fshamshirdar / pytorch-rdpg

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

deep-reinforcement-learning pytorch recurrent-neural-networks continuous-control rdpg

Updated Dec 8, 2022
Python

Scitator / catalyst-rl-framework

Catalyst.RL: A Distributed Framework for Reproducible RL Research

python benchmark framework reinforcement-learning deep-learning pytorch continuous-control mujoco

Updated Mar 17, 2019
Python

simionsoft / SimionZoo

A workbench for online model-free Reinforcement Learning on continuous control problems

windows linux distributed-systems reinforcement-learning cntk continuous-control

Updated Jul 5, 2023
C++

LQNew / Continuous_Control_Benchmark

Benchmark data (i.e., DeepMind Control Suite and MuJoCo) for RL.

reinforcement-learning ddpg sac continuous-control dmc mujoco ppo benchmark-data td3

Updated Jan 23, 2021
Python

aidanscannell / dcmpc

Official PyTorch implementation of "DC-MPC: Discrete Codebook Model Predictive Control"

reinforcement-learning representation-learning continuous-control model-predictive-control model-based-reinforcement-learning world-models deepmind-control-suite meta-world model-predictive-path-integral myosuite

Updated Mar 15, 2025
Jupyter Notebook

BY571 / Normalized-Advantage-Function-NAF-

PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method

reinforcement-learning q-learning dqn reinforcement-learning-algorithms continuous-control naf ddpg-algorithm prioritized-experience-replay normalized-advantage-functions q-learning-algorithm n-step-bootstrapping

Updated Feb 16, 2021
Jupyter Notebook

akazemipour / Continuous-PPO

Proximal Policy Optimization (Continuous Version) in PyTorch.

continuous-control ppo

Updated May 12, 2025
Python

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