1211 Open source projects that are alternatives of or similar to Slm Lab

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

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

Reinforcement learning tutorials

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

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

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Minimal and Clean Reinforcement Learning Examples

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Highly Modular and Scalable Reinforcement Learning

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

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

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

Scalable, event-driven, deep-learning-friendly backtesting library

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

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

A PyTorch library for building deep reinforcement learning agents.

Repo for the Deep Reinforcement Learning Nanodegree program

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

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

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

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

An elegant PyTorch deep reinforcement learning library.

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

Deep Reinforcement Learning with pytorch & visdom

RLgraph: Modular computation graphs for deep reinforcement learning

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

강화학습에 대한 기본적인 알고리즘 구현

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

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

🤖 Implements of Reinforcement Learning algorithms.

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

ROS 2 enabled Machine Learning algorithms

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

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Structural implementation of RL key algorithms

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

Implementations of deep RL papers and random experimentation

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

playing idealized trading games with deep reinforcement learning

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

☔ Deep RL agents with PyTorch☔

Python library for Reinforcement Learning.

Combining deep learning and reinforcement learning.

Implementations of Reinforcement Learning Models in Tensorflow

A3C LSTM Atari with Pytorch plus A3G design

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

Lightweight deep RL Libraray for continuous control.

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

No description or website provided.

A pytorch tutorial for DRL(Deep Reinforcement Learning)

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

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

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