76 Open source projects that are alternatives of or similar to safe-grid-agents

An OpenAI-gym-like environment for Little Fighter 2

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

A collection of multi agent environments based on OpenAI gym.

Self hosted FLOSS fitness/workout, nutrition and weight tracker written with Django

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

Deep-Q-Network reinforcement learning algorithm applied to a simple 2d-car-racing environment

A Trading environment base on Gym

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

Sokoban environment for OpenAI Gym

Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro

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

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

OpenAI Gym wrapper for the DeepMind Control Suite

An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Flutter fitness/workout app for wger

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Unreal environments for reinforcement learning

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Come & try Decision-Intelligence version of "Agar"! Gobigger could also help you with multi-agent decision intelligence study.

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

PyTorch implementation of Soft Actor-Critic (SAC)

A simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

Resources for Covid-19

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Run OpenAI Gym on a Server

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

Help! I'm lost in the flatland!

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

High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters

Explore and find reinforcement learning environments in a list of 150+ open source environments.

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

MuZero

Extensible Combinatorial Optimization Learning Environments

This program evolves an AI using the NEAT algorithm to play Super Mario Bros.

Reinforcement Learning Algorithms Based on TensorFlow 2.x

Workout-Tracking app built in ES6 using react, flux and ImmutableJS

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Reinforcement Learning Algorithms

PyTorch Implementation of REINFORCE for both discrete & continuous control

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

Shell scripts to build ipa

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

OpenAI Gym Environment API based Bitcoin trading environment

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

AI research environment for the Atari 2600 games 🤖.

Simple A3C implementation with pytorch + multiprocessing

A customized gym environment for developing and comparing reinforcement learning algorithms in crypto trading.

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

Proto-RL: Reinforcement Learning with Prototypical Representations

Multi-agent reinforcement learning environment

Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.