812 Open source projects that are alternatives of or similar to Deeprl Tensorflow2

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

강화학습에 대한 기본적인 알고리즘 구현

OpenAI's cartpole env solver.

Reinforcement learning models in ViZDoom environment

Resources, papers, tutorials

This is a simple implementation of DeepMind's PySC2 RL agents.

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

Collection of reinforcement learners implemented in python. Mainly including DQN and its variants

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

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

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

Asynchronous Methods for Deep Reinforcement Learning

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

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

Unity Machine Learning Agents Toolkit

MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

ChainerRL is a deep reinforcement learning library built on top of Chainer.

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

Using deep reinforcement learning to tackle the game 2048.

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

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

A PyTorch implementation of Rainbow DQN agent

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

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

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

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!

Teach a Quadcopter How to Fly!

AI斗地主

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.

An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.

Notes and comments about Deep Reinforcement Learning papers

AI research environment for the Atari 2600 games 🤖.

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction

Implementing reinforcement-learning algorithms for pysc2 -environment

StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)

PyTorch implementation of Soft Actor-Critic (SAC)

Tensorflow implementation of generative adversarial imitation learning

TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x

My Solution to Assignments of CS234

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

Our NIPS 2017: Learning to Run source code

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

TD-Regularized Actor-Critic Methods

Deep Reinforcement Learning (DRL) agents applied to medical images

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

The Retro Learning Environment (RLE) -- a learning framework for AI

A reinforcement learning package for Julia

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

Reinforcement learning with A* and a deep heuristic

A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch