594 Open source projects that are alternatives of or similar to Categorical Dqn

Master Thesis: Limit order placement with Reinforcement Learning

Reinforcement learning tutorials

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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

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

AI research environment for the Atari 2600 games 🤖.

Implementations of deep RL papers and random experimentation

Repo for the Deep Reinforcement Learning Nanodegree program

Python library for Reinforcement Learning.

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

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

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

🤖 Implements of Reinforcement Learning algorithms.

Solving OpenAI Gym problems.

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

AI斗地主

playing idealized trading games with deep reinforcement learning

ROS 2 enabled Machine Learning algorithms

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

Accompanying repository for Let's make a DQN / A3C series.

A PyTorch library for building deep reinforcement learning agents.

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

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

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

Minimal and Clean Reinforcement Learning Examples

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

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

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

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

Highly Modular and Scalable Reinforcement Learning

강화학습에 대한 기본적인 알고리즘 구현

OpenAI's cartpole env solver.

use AI to play some games.

A PyTorch implementation of Rainbow DQN agent

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

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

AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).

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

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

Reinforcement learning with A* and a deep heuristic

RLgraph: Modular computation graphs for deep reinforcement learning

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

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

Structural implementation of RL key algorithms

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

Deep Reinforcement Learning with pytorch & visdom

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

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

A Trading environment base on Gym

Artificial intelligence for the Snake game.

PyTorch implementation of Looking Fast and Slow: Memory-Guided Mobile Video Object Detection

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

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

An OpenAI-gym-like environment for Little Fighter 2

Reinforcement Learning in JavaScript

A power network simulator with a Reinforcement Learning-focused usage.

API to run VirtualHome, a Multi-Agent Household Simulator

An advanced program in Machine Learning and Deep Learning

A selection of state-of-the-art research materials on decision making and motion planning.