664 Open source projects that are alternatives of or similar to Show Adapt And Tell

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

Deep Reinforcement Learning For Sequence to Sequence Models

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

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

Implementations of Reinforcement Learning Models in Tensorflow

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

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

Structural implementation of RL key algorithms

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

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

Reinforcement learning tutorials

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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

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..

Highly Modular and Scalable Reinforcement Learning

Minimal and Clean Reinforcement Learning Examples

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

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

Multiple implementations for abstractive text summurization , using google colab

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

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

강화학습에 대한 기본적인 알고리즘 구현

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

A Python interface for reinforcement learning environments

Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)

A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.

A minimal C implementation of Nintendo Gameboy - An fast research environment for Reinforcement Learning

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

A PyTorch Library for Reinforcement Learning Research

Unity Machine Learning Agents Toolkit

Teach a Quadcopter How to Fly!

Deep Reinforcement Learning (DRL) agents applied to medical images

🃏 OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning

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

The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

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

ROS 2 enabled Machine Learning algorithms

Clone of OpenAI's Spinning Up in PyTorch

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.

🚗 Rocket League Distributed Deep Reinforcement Learning Bot

Resources, papers, tutorials

Official Implementation of ChromaGAN: An Adversarial Approach for Picture Colorization

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

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

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