562 Open source projects that are alternatives of or similar to omd

JAX implementations of core Deep RL algorithms

Proto-RL: Reinforcement Learning with Prototypical Representations

A pytorch tutorial for DRL(Deep Reinforcement Learning)

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

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

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

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

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.

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

☔ Deep RL agents with PyTorch☔

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

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

DrQ: Data regularized Q

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

Repo for the Deep Reinforcement Learning Nanodegree program

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

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

Combining deep learning and reinforcement learning.

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

Trax — Deep Learning with Clear Code and Speed

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

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

A PyTorch library for building deep reinforcement learning agents.

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

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

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

Code repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)

RLgraph: Modular computation graphs for deep reinforcement learning

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

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

[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.

Highly Modular and Scalable Reinforcement Learning

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

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

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

Deep Reinforcement Learning with pytorch & visdom

Python library for Reinforcement Learning.

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

Reinforcement Learning Algorithms

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

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

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

🤖 Implements of Reinforcement Learning algorithms.

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

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Reinforcement learning with tensorflow 2 keras

MuZero

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

TensorFlow implementation of Deep Reinforcement Learning papers

Repository for codes of 'Deep Reinforcement Learning'

PyTorch implementation of Soft Actor-Critic (SAC)

playing idealized trading games with deep reinforcement learning

Modularized Implementation of Deep RL Algorithms in PyTorch

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Minimal and Clean Reinforcement Learning Examples

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

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

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator