165 Open source projects that are alternatives of or similar to logrl

An elegant PyTorch deep reinforcement learning library.

ROS 2 enabled Machine Learning algorithms

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

Python library for Reinforcement Learning.

AI research environment for the Atari 2600 games 🤖.

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

Play flappy bird with DQN, a demo for reinforcement learning, implemented using PyTorch

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

Repository for codes of 'Deep Reinforcement Learning'

Prioritized Experience Replay (PER) implementation in PyTorch

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

Minimal implementations of reinforcement learning algorithms by Tensorflow

Implementations of deep RL papers and random experimentation

OpenAI's Gym written in pure Rust for blazingly fast performance

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

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

大数据+人工智能+数据结构相关案例项目

A PyTorch implementation of Rainbow DQN agent

☔ Deep RL agents with PyTorch☔

Provide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library

Reinforcement learning with tensorflow 2 keras

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

Minimal and Clean Reinforcement Learning Examples

TensorFlow implementation of Deep Reinforcement Learning papers

OpenAI's cartpole env solver.

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

Ape-X DQN & DDPG with pytorch & tensorboard

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

Revisiting Rainbow

Reinforcement Learning | tensorflow implementation of DQN, Dueling DQN and Double DQN performed on Atari Breakout

Hybrid Reward Architecture

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

🤖 Implements of Reinforcement Learning algorithms.

🔥🌟《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!

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

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.

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

AI斗地主

A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning

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

An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"

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

Buy paid Udemy courses for free/with discount without extra step! See all discounted courses right in Udemy and apply coupon code automatically or with a single click.

Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro

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

Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network

Master Thesis: Limit order placement with Reinforcement Learning

Java SDK for Voucherify - coupons, vouchers, promo codes

강화학습에 대한 기본적인 알고리즘 구현

Highly Modular and Scalable Reinforcement Learning

Reinforcement learning with A* and a deep heuristic

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

Solving OpenAI Gym problems.

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

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

playing idealized trading games with deep reinforcement learning

A PyTorch implementation of Human-Level Control through Deep Reinforcement Learning

📒 Experiment tracking tool and model registry

Using reinforcement learning to train FlappyBird.