628 Open source projects that are alternatives of or similar to Walk_the_blocks

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

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🎒 🚀 🎉 A list of interview questions. This repository is everything you need to prepare for your technical interview.

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A3C LSTM Atari with Pytorch plus A3G design

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Implementations of Reinforcement Learning Models in Tensorflow

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

This generic SOAP client allows you to access web services using a your iOS app, Mac OS X app and AppleTV app.

Resources to learn more about Machine Learning and Artificial Intelligence

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

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An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Quiz & Assignment of Coursera

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Reinforcement learning environments with musculoskeletal models

Python library for Reinforcement Learning.

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

SMAC: The StarCraft Multi-Agent Challenge

Convert sc2 environment to gym-atari and play some mini-games

A PyTorch library for building deep reinforcement learning agents.

Computational framework for reinforcement learning in traffic control

use AI to play some games.

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Deep Reinforcement Learning Framework + Algorithms

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Deep Q-learning for playing flappy bird game

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

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

Reversi reinforcement learning by AlphaGo Zero methods.

Python implementations of contextual bandits algorithms

TensorFlow and Deep Learning Tutorials

Paper reading notes on Deep Learning and Machine Learning

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

A curated list of Monte Carlo tree search papers with implementations.

asp命令执行webshell

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

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A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

Deep Reinforcement Learning for Keras.

In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.

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Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

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References on Optimal Control, Reinforcement Learning and Motion Planning