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mujoco

Here are 91 public repositories matching this topic...

ikostrikov / pytorch-a2c-ppo-acktr-gail

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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).

reinforcement-learning deep-learning deep-reinforcement-learning pytorch atari hessian second-order continuous-control actor-critic ale mujoco proximal-policy-optimization ppo advantage-actor-critic a2c acktr natural-gradients roboschool kfac kronecker-factored-approximation

Updated Mar 3, 2020
Python

deepmind / dm_control

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DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

machine-learning reinforcement-learning deep-learning artificial-intelligence neural-networks physics-simulation mujoco

Updated Aug 11, 2020
Python

NervanaSystems / coach

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Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

reinforcement-learning deep-learning mxnet tensorflow openai-gym rl starcraft imitation-learning hierarchical-reinforcement-learning coach mujoco starcraft2 onnx roboschool carla starcraft2-ai distributed-reinforcement-learning

Updated Aug 17, 2020
Python

zuoxingdong / lagom

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lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

python machine-learning research reinforcement-learning deep-learning deep-reinforcement-learning pytorch artificial-intelligence policy-gradient ddpg sac cem cmaes evolution-strategies mujoco deep-deterministic-policy-gradient proximal-policy-optimization ppo td3 soft-actor-critic

Updated Feb 26, 2020
Jupyter Notebook

navneet-nmk / pytorch-rl

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This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Updated Jul 14, 2019
Python

rlworkgroup / metaworld

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Open

All environments produce observations outside of observation space.

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mtcrawshaw commented Jan 22, 2020

The following is a minimal working example which shows that all of the environments produce observations outside of their observation space. All it does is iterate over each environment from ML1, sample and set a task for the given environment, then take random actions in the environment and test whether or not the observations are inside the observation space, and at which indices (if any) an obs

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good first issue

pat-coady / trpo

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Trust Region Policy Optimization with TensorFlow and OpenAI Gym

machine-learning reinforcement-learning tensorflow policy-gradient mujoco

Updated Jun 2, 2020
Jupyter Notebook

MushroomRL / mushroom-rl

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Python library for Reinforcement Learning.

reinforcement-learning qlearning deep-learning deep-reinforcement-learning openai-gym pytorch dqn rl atari ddpg trpo mujoco

Updated Aug 18, 2020
Python

ikostrikov / pytorch-trpo

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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

denisyarats / drq

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DrQ: Data regularized Q

python control reinforcement-learning deep-learning pixel deep-reinforcement-learning pytorch gym rl data-augmentation sac actor-critic mujoco model-free off-policy dm-control drq soft-actor-crit

Updated Jun 16, 2020
Jupyter Notebook

chingyaoc / pytorch-REINFORCE

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PyTorch Implementation of REINFORCE for both discrete & continuous control

reinforcement-learning pytorch gym reinforce continuous-control mujoco

Updated Apr 16, 2017
Python

aravindr93 / mjrl

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Reinforcement learning algorithms for MuJoCo tasks

reinforcement-learning robotics simulation mujoco

Updated Aug 6, 2020
Python

denisyarats / pytorch_sac

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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 Jun 18, 2020
Python

andrewliao11 / pytorch-a3c-mujoco

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Implement A3C for Mujoco gym envs

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

Updated Nov 2, 2017
Python

RchalYang / torchrl

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Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

algorithm reinforcement-learning pytorch dqn gym ddpg sac trpo mujoco ppo td3 rl-algorithms policy-agent

Updated Aug 16, 2020
Python

denisyarats / pytorch_sac_ae

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PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

reinforcement-learning deep-learning pixels deep-reinforcement-learning pytorch gym autoencoder actor-critic mujoco image-based dm-control soft-actor-critic

Updated May 3, 2020
Python

aravindr93 / trajopt

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Trajectory optimization algorithms for robotic control.

robotics trajectory-optimization robotics-control mujoco

Updated Jan 18, 2020
Python

cxy1997 / Robotiq-UR5

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Simulator of UR5 robotic arm with Robotiq gripper, built with MuJoCo

ur5 simulation-modeling mujoco robotiq-gripper rl-environment

Updated Mar 4, 2018
C++

policy-adaptation-during-deployment

nicklashansen / policy-adaptation-during-deployment

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Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.

reinforcement-learning deep-learning robotics deep-reinforcement-learning pytorch gym mujoco self-supervised-learning dm-control

Updated Jul 17, 2020
Python

pokaxpoka / sunrise

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SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

deep-neural-networks reinforcement-learning deep-learning deep-reinforcement-learning rainbow rl codebase deep-q-network sac deep-q-learning mujoco model-free off-policy dm-control soft-actor-critic

Updated Jul 12, 2020
Python

RITCHIEHuang / DeepRL_Algorithms

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DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

deep-reinforcement-learning dqn policy-gradient reinforcement-learning-algorithms reinforcement trpo mujoco pytorch-rl ppo td3 pytorch-implementation soft-actor-critic tensorflow2 policygradient

Updated May 29, 2020
Python

navneet-nmk / Pytorch-RL-CPP

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A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Updated Jul 18, 2019
C++

ogroth / shapestacks

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Tensorflow models and simulation code for 'ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking'

dataset-interface mujoco intuitive-physics visual-stability-prediction

Updated May 1, 2020
Python

MahanFathi / iLQG-MuJoCo

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Iterative LQG for a couple of MuJoCo models

reinforcement-learning hopper optimal-control lqr mujoco rllab ilqg ilqr lqg ilqg-mujoco mujoco-py

Updated May 7, 2020
C++

matthieu637 / ddrl

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Deep Developmental Reinforcement Learning

caffe reinforcement-learning deep-learning deep-reinforcement-learning openai-gym artificial-intelligence ode openai neural-networks mujoco baselines open-dynamic-engine

Updated Jul 1, 2020
C++

shadow-robot / mujoco_ros_pkgs

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ROS integration of Mujoco simulator

robotics simulation ros mujoco

Updated Jul 29, 2020
C++

Scitator / catalyst-rl-framework

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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

navneet-nmk / Hierarchical-Meta-Reinforcement-Learning

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This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.

Updated May 6, 2019
Python

Wenxuan-Zhou / EPI

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Code for Environment Probing Interaction Policies [ICLR 2019]

reinforcement-learning robotics mujoco

Updated Jun 17, 2019
Python

neka-nat / kinpy

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Simple kinematics calculation toolkit for robotics

python robot robotics kinematics inverse-kinematics manipulator sdf urdf forward-kinematics mujoco

Updated Oct 12, 2019
Python

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