Dqn Python Packages

tianshou

An elegant PyTorch deep reinforcement learning library.

tensorlayer

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

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.

rustforge-rl

A pure Rust Reinforcement Learning framework featuring a custom tensor engine, autograd system, and modular RL algorithms.

autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

elegantrl

Massively Parallel Deep Reinforcement Learning. 🔥

fastrl

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

mushroom-rl

Python library for Reinforcement Learning.

keras-rl2

Reinforcement learning with tensorflow 2 keras

neodroidagent

Examples of agents for neodroid environments 💡

atomic-rl

Reinforcement learning utilities for Deep RL and the Alberta Plan: readable implementations of DQN, Rainbow, PPO, and MCTS.

reinfors

High-throughput reinforcement-learning search and sampling in Rust, with caller-owned Python networks and training

xuance

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

rllib

A simple and neat implementation of reinforcement learning algorithms.

rainy

:umbrella: Deep RL agents with PyTorch:umbrella:

decisionrl

Reinforcement learning for operational decisions — pricing, inventory, energy, queues, supply chains. 32 algorithms, typed, tested.

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

machin

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

fcmadrl

Fully Cooperative Multi-Agent Deep Reinforcement Learning

toyrl

Reinforce learning is awesome!

fast-rl

Important Note fastrl version 2 is being developed at fastrl. Note the link in the readme

imbdrl

Imbalanced Classification with Deep Reinforcement Learning