81 Open source projects that are alternatives of or similar to gym-battlesnake

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

Reinforcement Learning Algorithms

PyTorch Implementation of REINFORCE for both discrete & continuous control

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

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

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

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

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

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

AI research environment for the Atari 2600 games 🤖.

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

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

A Universal Deep Reinforcement Learning Framework

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

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

MuZero

Reinforcement Learning Algorithms Based on TensorFlow 2.x

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

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

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

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

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

A Multi-agent Learning Framework

Simple A3C implementation with pytorch + multiprocessing

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

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

Structural implementation of RL key algorithms

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

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

Extensible Combinatorial Optimization Learning Environments

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

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

An OpenAI-gym-like environment for Little Fighter 2

OpenAI Gym Environment API based Bitcoin trading environment

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.

A Trading environment base on Gym

Shell scripts to build ipa

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

A collection of multi agent environments based on OpenAI gym.

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

CommNet and BiCnet implementation in tensorflow

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

Unreal environments for reinforcement learning

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

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

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

Sokoban environment for OpenAI Gym

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

Run OpenAI Gym on a Server

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

PyTorch implementation of Soft Actor-Critic (SAC)

Play games without touching keyboard

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.

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

Flutter fitness/workout app for wger

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

Resources for Covid-19

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