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

🎳 Environments for Reinforcement Learning

Gym environments and agents for autonomous driving.

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

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

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

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

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

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MuZero

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

PyTorch Implementation of REINFORCE for both discrete & continuous control

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

AI research environment for the Atari 2600 games 🤖.

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

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

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

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.

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

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

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

Flutter fitness/workout app for wger

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

Reinforcement Learning Algorithms

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

A collection of multi agent environments based on OpenAI gym.

Run OpenAI Gym on a Server

Unreal environments for reinforcement learning

Proto-RL: Reinforcement Learning with Prototypical Representations

Sokoban environment for OpenAI Gym

Extensible Combinatorial Optimization Learning Environments

PyTorch implementation of Soft Actor-Critic (SAC)

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

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

Shell scripts to build ipa

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

Multi-agent reinforcement learning environment

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

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

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

Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.

An OpenAI-gym-like environment for Little Fighter 2

Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.

OpenAI Gym wrapper for the DeepMind Control Suite

Cellular Automata Environments for Reinforcement Learning

A Trading environment base on Gym

Resources for Covid-19

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

Training (hopefully) safe agents in gridworlds

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

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

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

OpenAI Gym Environment API based Bitcoin trading environment

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

A collection of multi-agent reinforcement learning OpenAI gym environments

Environment that can be used to evaluate reasoning capabilities of artificial agents

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

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