367 Open source projects that are alternatives of or similar to Tetris Ai

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

playing idealized trading games with deep reinforcement learning

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Play Google Chrome's T-rex game with TensorFlow

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

DEEp Reinforcement learning framework

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

Reinforcement Learning Demos

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

Rainbow: Combining Improvements in Deep Reinforcement Learning

Notes and comments about Deep Reinforcement Learning papers

Deep Reinforcement Learning Notes

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

tensorflow deep RL for driving a rover around

Implementation of q-learning using TensorFlow

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Summary of key papers in deep reinforcement learning. Heavily based on OpenAI SpinningUp.

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

Deep reinforcement learning for recommendation system

An advanced program in Machine Learning and Deep Learning

Highly Modular and Scalable Reinforcement Learning

PyTorch Implementation of Neural Episodic Control (NEC)

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

Malmo Collaborative AI Challenge - Team Pig Catcher

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

My Solution to Assignments of CS234

Some notebooks

Top 200 deep learning Github repositories sorted by the number of stars.

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

💡 Repo of learning notes in DRL and DL, theory, codes, models and notes maybe.

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement

Imitation learning algorithms

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

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

Artificial intelligence for the Snake game.

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley

Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung

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

Implementation of the Deep Q-learning algorithm to solve MDPs

Deep reinforcement learning using baidu PARL(maze,flappy bird and so on)

For deep RL and the future of AI.

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

🤖 Implements of Reinforcement Learning algorithms.

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....