534 Open source projects that are alternatives of or similar to Easy21

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

Reinforcement learning for energy systems

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

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

Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning

Studying Reinforcement Learning Guide

A C++ framework for MDPs and POMDPs with Python bindings

Chess reinforcement learning by AlphaGo Zero methods.

Grokking Deep Reinforcement Learning

self-studying the Sutton & Barto the hard way

Simulation of spiking neural networks (SNNs) using PyTorch.

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

Pointer-generator reinforced seq2seq summarization in PyTorch

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Obstacle Tower Environment

A repo for data science related questions and answers

MCTS project for Tetris

A PyTorch Library for Reinforcement Learning Research

Solutions of Reinforcement Learning, An Introduction

Flappy Bird AI using Evolution Strategies

📡 Organized Resources for Deep Learning Researchers and Developers

Complete-Life-Cycle-of-a-Data-Science-Project

Open Machine Learning course at MIPT

Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)

Deep Reinforcement Learning library for humans

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

🃏 OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning

Mastering Atari with Discrete World Models

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

A3C LSTM Atari with Pytorch plus A3G design

Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

Recent Deep Learning papers in NLU and RL

Reinforcement Learning in Keras on VizDoom

A collection of machine learning examples and tutorials.

AIXIjs - General Reinforcement Learning in the Browser

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

A Python interface for reinforcement learning environments

Implementations of Reinforcement Learning Models in Tensorflow

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"

Collection of Deep Reinforcement Learning algorithms

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

backtrader with DRL ( Deep Reinforcement Learning)

Teach a Quadcopter How to Fly!

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

Deep Reinforcement Learning (DRL) agents applied to medical images

A JavaScript deep learning and reinforcement learning library.

The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.

Tensorforce: a TensorFlow library for applied reinforcement learning

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

RLgraph: Modular computation graphs for deep reinforcement learning

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

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

The Machine Learning Toybox for testing the behavior of autonomous agents.

Implementation of Scheduled Policy Optimization for task-oriented language grouding

Scalable, event-driven, deep-learning-friendly backtesting library

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

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

Implementation for the Neural Logic Machines (NLM).