77 Open source projects that are alternatives of or similar to rSoccer

Reinforcement learning in haskell

Implementation of the Deep Deterministic Policy Gradient(DDPG) in bullet Gym using pytorch

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

MuZero

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

Gym environments and agents for autonomous driving.

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

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

Reinforcement Learning Algorithms Based on TensorFlow 2.x

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

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

AI research environment for the Atari 2600 games 🤖.

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

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

Flutter fitness/workout app for wger

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

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

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

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

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

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

Reinforcement Learning Algorithms

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

PyTorch Implementation of REINFORCE for both discrete & continuous control

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

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

Sokoban environment for OpenAI Gym

Shell scripts to build ipa

PyTorch implementation of Soft Actor-Critic (SAC)

Cellular Automata Environments for Reinforcement Learning

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

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

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

Proto-RL: Reinforcement Learning with Prototypical Representations

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

Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.

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

OpenAI Gym Environment API based Bitcoin trading environment

An OpenAI-gym-like environment for Little Fighter 2

Resources for Covid-19

OpenAI Gym wrapper for the DeepMind Control Suite

Training (hopefully) safe agents in gridworlds

A Trading environment base on Gym

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

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

Run OpenAI Gym on a Server

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

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

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

Multi-agent reinforcement learning environment

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

A collection of multi agent environments based on OpenAI gym.

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

Extensible Combinatorial Optimization Learning Environments

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

Unreal environments for reinforcement learning

Gym Management System provides an easy to use interface for the users and a database for the admin to maintain the records of gym members.

Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.

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

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