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Search results for pytorch mujoco
mujoco
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pytorch
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57 search results found
Tianshou
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7,125
An elegant PyTorch deep reinforcement learning library.
Pytorch A2c Ppo Acktr Gail
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3,450
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).
Mushroom Rl
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765
Python library for Reinforcement Learning.
Openrl
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496
Unified Reinforcement Learning Framework
Deep_rl
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372
PyTorch implementations of deep reinforcement learning algorithms
Drq
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369
DrQ: Data regularized Q
Lagom
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365
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Pytorch Rl
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356
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Xuance
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339
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Lets Do Irl
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269
Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
Pytorch Reinforce
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254
PyTorch Implementation of REINFORCE for both discrete & continuous control
Pytorch Trpo
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252
PyTorch implementation of Trust Region Policy Optimization
Pytorch_sac
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232
PyTorch implementation of Soft Actor-Critic (SAC)
Hindsight Experience Replay
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201
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
Torchrl
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127
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
Deeprl_algorithms
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112
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
Rfc
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97
[NeurIPS 2020] Official PyTorch Implementation of "Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis". NeurIPS 2020.
Mujoco Benchmark
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78
Provide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library
Pytorch A3c Mujoco
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62
Implement A3C for Mujoco gym envs
Min Decision Transformer
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47
Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym
Policy Adaptation During Deployment
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46
Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.
Modeling_long_term_future
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43
Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future
Pytorch_sac_ae
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38
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
Proto
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34
Proto-RL: Reinforcement Learning with Prototypical Representations
F Irl
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33
Inverse Reinforcement Learning via State Marginal Matching - CoRL 2020
Ppo Pytorch
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32
Proximal policy optimization in PyTorch. Easy to read and understand.
Pytorch Rl Cpp
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31
A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)
Hrac
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30
PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spotlight).
Catalyst Rl Framework
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29
Catalyst.RL: A Distributed Framework for Reproducible RL Research
A3c Mujoco
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26
Paramnoise
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25
A comparison of parameter space noise methods for exploration in deep reinforcement learning
Distributed Ppo
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23
This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).
Hierarchical Meta Reinforcement Learning
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19
This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
Meta Sac
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18
Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020
R2l
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18
Recurrent continuous reinforcement learning algorithms implemented in Pytorch.
Deep Reinforcement Learning Cs285 Pytorch
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17
Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
Revolver
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17
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer (ICML 2022 Long Oral)
Imitation Learning From Imperfect Demonstration
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14
[ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"
Omiga
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13
The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization" (NeurIPS 2023)
Xuance
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12
A clean framework and implementations for reinforcement learning algorithms.
Mujoco Pytorch
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12
PPO, DDPG, SAC implementation on mujoco environment
Dockerfiles
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12
Dockerfile for RL research. Including MuJoCo / DMC / PyTorch / Tensoflow / Atari support.
Bevy_quadruped_neural_control
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12
An example project using bevy_mujoco to make Unitree A1 Robot walk with neural network
Rlcodebase
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12
RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms
Banrinochoujou
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9
これは 万里の長城 です〜
Deep Bayesian Quadrature Policy Optimization
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9
Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.
Exorl
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9
ExORL: Exploratory Data for Offline Reinforcement Learning
Focops
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9
Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).
Bc Regularized Gail
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8
Official implementation of the paper `Augmenting GAIL with BC for sample efficient imitation learning` in PyTorch
Pytorch_bco
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7
A PyTorch implementation of BCO
Spinningup Drl Prototyping
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7
Mujoco Pg
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6
PyTorch implementation of Vanilla PG, TNPG, TRPO, PPO on Mujoco environment
Berkeley_cs294_fall2017
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6
an attempt to do homework for CS294 using PyTorch
Sac Td3 Td7
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5
pytorch implementation of SAC, TD3 and TD7 with Mujoco Benchmark results from 4 seeds.
Gibo
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5
This repository contains the code for the paper "Local policy search with Bayesian optimization".
Rl_robotics_tutorial
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5
This is a project for robotic control with reinforcement learning
Model Based Rl
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5
Model-based Policy Gradients
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