TakieddineSOUALHI

Simulately

A universal summary of current robotics simulators

habitat-imitation-baselines

Code for training embodied agents using imitation learning at scale in Habitat-Lab

awesome-model-based-RL

A curated list of awesome model based RL resources (continually updated)

dreamer

Dream to Control: Learning Behaviors by Latent Imagination

reinforcement-learning-for-legged-robots

Introduction to reinforcement learning in legged robotics

droid_policy_learning

DROID Policy Learning and Evaluation

OmniGibson

OmniGibson: a platform for accelerating Embodied AI research built upon NVIDIA's Omniverse engine. Join our Discord for support: https://discord.gg/bccR5vGFEx

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).

marl-baselines3

Multi-Agent Reinforcement Learning with Stable-Baselines3

mappo

This is the official implementation of Multi-Agent PPO.

BenchMARL

A collection of MARL benchmarks based on TorchRL

MARL-resources-collection

A Collection of Multi-Agent Reinforcement Learning (MARL) Resources

Multi-Agent-Reinforcement-Learning-papers

Multi-Agent Reinforcement Learning (MARL) papers

awesome-mlops

:sunglasses: A curated list of awesome MLOps tools

turbopilot

Turbopilot is an open source large-language-model based code completion engine that runs locally on CPU

meltingpot

A suite of test scenarios for multi-agent reinforcement learning.

GibsonEnv

Gibson Environments: Real-World Perception for Embodied Agents

minimalRL

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

blog

os-tutorial

How to create an OS from scratch

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

RLeXplore

RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).

ppo-implementation-details

The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization

RepL4RL

Representation Learning for RL

awesome-marl

A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers

tianshou

An elegant PyTorch deep reinforcement learning library.

imitation

Clean PyTorch implementations of imitation and reward learning algorithms

on-policy

This is the official implementation of Multi-Agent PPO (MAPPO).

pymarl

Python Multi-Agent Reinforcement Learning framework

iGibson

A Simulation Environment to train Robots in Large Realistic Interactive Scenes