682 Open source projects that are alternatives of or similar to Deep Rl Keras

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

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

A PyTorch implementation of Rainbow DQN agent

DrQ: Data regularized Q

AI斗地主

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

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

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Master Thesis: Limit order placement with Reinforcement Learning

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

Build environment and train a robot arm from scratch (Reinforcement Learning)

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

RLgraph: Modular computation graphs for deep reinforcement learning

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

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

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

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

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

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

Implementation of algorithms for continuous control (DDPG and NAF).

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

Reinforcement learning with A* and a deep heuristic

playing idealized trading games with deep reinforcement learning

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

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

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

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

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

Reinforcement Learning Algorithms

A Trading environment base on Gym

OpenAI Gym wrapper for the DeepMind Control Suite

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

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

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

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

MuZero

An OpenAI-gym-like environment for Little Fighter 2

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features

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

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

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

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

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

Sokoban environment for OpenAI Gym

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

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

PyTorch implementation of Soft Actor-Critic (SAC)

A curated list of Monte Carlo tree search papers with implementations.

Simple A3C implementation with pytorch + multiprocessing

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

Combining deep learning and reinforcement learning.

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

A collection of multi agent environments based on OpenAI gym.

Ape-X DQN & DDPG with pytorch & tensorboard

juliareinforcementlearning.org/

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

☔ Deep RL agents with PyTorch☔