439 Open source projects that are alternatives of or similar to Deeprl

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

a unified environment for supervised learning and reinforcement learning in the context of quantitative trading

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

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo

Pytorch Implementation of RL algorithms

Pytorch implementation of distributed deep reinforcement learning

Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.

The implement of all kinds of dqn reinforcement learning with Pytorch

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

Reinforcement learning tutorials

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

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

[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.

Revisiting Rainbow

JAX implementations of core Deep RL algorithms

StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)

RAD: Reinforcement Learning with Augmented Data

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

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

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

Learning Continuous Control in Deep Reinforcement Learning

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

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Deep Reinforcement Learning with pytorch & visdom

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

TensorFlow implementation of Deep Reinforcement Learning papers

Reinforcement learning with tensorflow 2 keras

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

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

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

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

Prioritized Experience Replay (PER) implementation in PyTorch

Resources, papers, tutorials

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

Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow

Goal-Oriented Chatbot trained with Deep Reinforcement Learning

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

Reinforcement learning models in ViZDoom environment

Master Thesis: Limit order placement with Reinforcement Learning

A deep reinforcement learning bot that plays tetris

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

Implementations of deep RL papers and random experimentation

A PyTorch implementation of Rainbow DQN agent

PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

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

OpenAI's cartpole env solver.

AI research environment for the Atari 2600 games 🤖.

A high-performance Atari A3C agent in 180 lines of PyTorch

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

An independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)

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:

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"