123penny123

CausalWorld

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

mujoco

Multi-Joint dynamics with Contact. A general purpose physics simulator.

gym-extensions

This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement learning, etc.)

Conference-Accepted-Paper-List

Some Conferences' accepted paper lists (including AI, ML, Robotic)

ICRA2020-paper-list

ICRA2020 paperlist by paopaorobot

ICRA2021PaperList

ICRA 2021 paper list

LibMTL

A PyTorch Library for Multi-Task Learning

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

COG-sim2real-challenge

CAGrad

Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)

mtrl

Multi Task RL Baselines

garage

A toolkit for reproducible reinforcement learning research.

Deep-Reinforcement-Learning-Algorithms

32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

spinningup

An educational resource to help anyone learn deep reinforcement learning.

pytorch_sac

PyTorch implementation of Soft Actor-Critic (SAC)

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

cadrl_ros

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

Soft-Module

Code for "Multi-task Reinforcement Learning with Soft Modularization"

rlpyt

Reinforcement Learning in PyTorch

gym

A toolkit for developing and comparing reinforcement learning algorithms.

Popular-RL-Algorithms

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

higgsfield

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

pytorch-soft-actor-critic

PyTorch implementation of soft actor critic

Distributed_SAC

Pytorch Implementation of the Distributed SAC. Test environment is LunarLanderContinuous-v2 and Metaworld MT1, MT10

Metaworld

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

pareto-hypernetworks

Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]

MultiObjectiveOptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

WTF-DeepRL

Deep RL algorithm in pytorch

PyTorch-Tutorial

Build your neural network easy and fast, 莫烦Python中文教学

DI-engine

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.