Dqn Python Packages

tianshou

An elegant PyTorch deep reinforcement learning library.

tf-agents-nightly

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

agents

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

tf-agents

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

tensorlayer

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

rainy

:umbrella: Deep RL agents with PyTorch:umbrella:

keras-rl2

Reinforcement learning with tensorflow 2 keras

fastrl

fastrl is a reinforcement learning library that extends Fastai. This project is not affiliated with fastai or Jeremy Howard.

elegantrl

Massively Parallel Deep Reinforcement Learning. 🔥

xuance

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

mushroom-rl

Python library for Reinforcement Learning.

autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

neodroidagent

Examples of agents for neodroid environments 💡

machin

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

rllib

A simple and neat implementation of reinforcement learning algorithms.

nextdataai

nextdataAI: a Python library for solving mazes using classical algorithms (A*, BFS, DFS, Dijkstra, Greedy), reinforcement learning (QLearning, QTable, QNN, QLSTM), and novel pseudo-heuristics. Features include a neural network-based heuristic approximating Manhattan distance (NNHeuristic) and a custom SManhattan heuristic, a dataset gener

reinforcement-learning-keras

No description available

fcmadrl

Fully Cooperative Multi-Agent Deep Reinforcement Learning

toyrl

Reinforce learning is awesome!

pytorch-policy

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

fast-rl

Fastai for computer vision and tabular learning has been amazing. One would wish that this would be the same for RL. The purpose of this repo is to have a framework that is as easy as possible to start, but also designed for testing new agents.

imbdrl

Imbalanced Classification with Deep Reinforcement Learning

rle-python-interface

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

rlprop

Reinforcement Learning agents implemented in pytorch