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mujoco

Here are 163 public repositories matching this topic...

tianshou

thu-ml / tianshou

Open

How to support multi-agent reinforcement learning

34

youkaichao commented Jul 9, 2020

I have marked all applicable categories:
- exception-raising bug
- RL algorithm bug
- documentation request (i.e. "X is missing from the documentation.")
- new feature request
I have visited the [source website], and in particular read the [known issues]
I have searched through the [issue tracker] and [issue categories] for duplicates
[ ]

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good first issue discussion

deepmind / mujoco

Open

Adding _Nonull and _Nullable attributes to `mujoco.h` APIs

liuliu commented May 30, 2022

Is your feature request related to a problem? Please describe.
When using MuJoCo API, it is a bit harder to parse either automatically or from documentation when a parameter can be NULL or not. For example, mj_step requires mjData* d to be nonnull, while mj_copyData can take NULL mjData* dest. Similarly, mjv_makeScene can take NULL const mjModel* m. There seems to be no systematic

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enhancement good first issue

deepmind / dm_control

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 Jul 8, 2022
Python

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).

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 May 29, 2022
Python

IntelLabs / coach

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 Dec 27, 2021
Python

rlworkgroup / metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

multi-task mujoco meta-rl benchmark-environments

Updated Jun 21, 2022
Python

MushroomRL / mushroom-rl

Python library for Reinforcement Learning.

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

Updated Jul 5, 2022
Python

opendilab / DI-engine

Open

r2d2 atari

8

hlsafin commented Jun 28, 2022

Hello there, I'm sort of a newbie here. I am trying to reproduce some of the atari games with R2D2, and I am unable to produce them. I've been blocked on this for quite some time and it would be a great help if anyone can help me here.
Thank you.

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good first issue reproducibility

Open

`platform_test` for m1 (arm64)

1

Open

Agent Demo List

envpool

sail-sg / envpool

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

reinforcement-learning robotics gym high-performance-computing cpp17 box2d vizdoom parallel-processing threadpool pybind11 atari-games mujoco lock-free-queue dm-control reinforcement-learning-environments dm-env

Updated Jun 27, 2022
C++

myosuite

facebookresearch / myosuite

MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.

machine-learning musculoskeletal mujoco motor-control

Updated Jun 12, 2022
Python

navneet-nmk / pytorch-rl

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

Updated Jul 14, 2019
Python

zuoxingdong / lagom

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 Aug 30, 2021
Jupyter Notebook

pat-coady / trpo

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

machine-learning reinforcement-learning tensorflow policy-gradient mujoco

Updated Jun 2, 2020
Jupyter Notebook

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

denisyarats / drq

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 Nov 18, 2021
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

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

RITCHIEHuang / DeepRL_Algorithms

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 Jun 22, 2022
Python

aravindr93 / mjrl

Reinforcement learning algorithms for MuJoCo tasks

reinforcement-learning robotics simulation mujoco

Updated May 31, 2022
Python

denisyarats / pytorch_sac_ae

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

RchalYang / torchrl

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 Apr 30, 2022
Python

PaulDanielML / MuJoCo_RL_UR5

A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.

reinforcement-learning computer-vision robotics mujoco gym-environment pick-and-place

Updated Feb 3, 2022
Python

ChenDRAG / mujoco-benchmark

Provide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library

benchmark performance pytorch rl baseline results ddpg sac drl mujoco ppo tianshou

Updated Apr 29, 2021

pokaxpoka / sunrise

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 Mar 21, 2021
Python

erfanMhi / Deep-Reinforcement-Learning-CS285-Pytorch

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

python reinforcement-learning deep-learning berkeley deep-reinforcement-learning openai-gym pytorch neural-networks policy-gradient deep-q-learning mujoco model-based-rl actor-critic-algorithm model-free-rl

Updated May 26, 2022
Python

policy-adaptation-during-deployment

nicklashansen / policy-adaptation-during-deployment

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 Nov 24, 2020
Python

aravindr93 / trajopt

Trajectory optimization algorithms for robotic control.

robotics trajectory-optimization robotics-control mujoco

Updated Nov 24, 2021
Python

neka-nat / kinpy

Sponsor

Simple kinematics calculation toolkit for robotics

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

Updated Jul 5, 2022
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

navneet-nmk / Pytorch-RL-CPP

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

Updated Jul 18, 2019
C++

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