706 Open source projects that are alternatives of or similar to Neural Combinatorial Rl Pytorch

Pointer-generator reinforced seq2seq summarization in PyTorch

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Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Collection of Deep Reinforcement Learning algorithms

和（he for objective-c） —— “信息熵减机系统”

Tensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

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PyTorch implementation of soft actor critic

Simple and comprehensive tutorials in TensorFlow

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Stock Trading Bot using Deep Q-Learning

PyTorch implementation of Trust Region Policy Optimization

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DrQ: Data regularized Q

📡 Organized Resources for Deep Learning Researchers and Developers

Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning

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A list of recent papers regarding dialogue generation

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, SAC-AEA)

Grokking Deep Reinforcement Learning

Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743

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

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

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Deep Q-learning for playing tetris game

Tutorials for TensorFlow APIs the official documentation doesn't cover

This is a simple implementation of DeepMind's PySC2 RL agents.

Pytorch NLP library based on FastAI

seq2seq中文聊天机器人

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

Tensorforce: a TensorFlow library for applied reinforcement learning

MCTS project for Tetris

RLgraph: Modular computation graphs for deep reinforcement learning

Generating bash command from natural language https://arxiv.org/abs/1802.08979

Seamless, distributed, real-time integration of Blender into PyTorch data pipelines

pytorch实现bert做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持GPT2进行文章续写。

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Trading with recurrent actor-critic reinforcement learning

A small Roguelike game that uses Machine Learning to power its entities. Originally used in talks by Ciro & Alessia.

Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.

Links to the implementations of neural conversational models for different frameworks

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

Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq

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Velocity in deep-learning research

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

RAISIM, A PHYSICS ENGINE FOR ROBOTICS AND AI RESEARCH

Repository for most of the code from my YouTube channel

This repository contains a new generative model of chatbot based on seq2seq modeling.