604 Open source projects that are alternatives of or similar to Agents

Repo for the Deep Reinforcement Learning Nanodegree program

use AI to play some games.

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

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

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

Structural implementation of RL key algorithms

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

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

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

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

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Highly Modular and Scalable Reinforcement Learning

강화학습에 대한 기본적인 알고리즘 구현

🤖 Implements of Reinforcement Learning algorithms.

ROS 2 enabled Machine Learning algorithms

A working implementation of the Categorical DQN (Distributional RL).

Implementations of deep RL papers and random experimentation

Solving OpenAI Gym problems.

playing idealized trading games with deep reinforcement learning

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

Reinforcement learning with A* and a deep heuristic

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

RLgraph: Modular computation graphs for deep reinforcement learning

Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies

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

[IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library

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

OpenAI's cartpole env solver.

A PyTorch library for building deep reinforcement learning agents.

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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Deep Reinforcement Learning with pytorch & visdom

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

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

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

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

Python library for Reinforcement Learning.

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

Master Thesis: Limit order placement with Reinforcement Learning

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Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

🚗 Rocket League Distributed Deep Reinforcement Learning Bot

Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.