590 Open source projects that are alternatives of or similar to Handful Of Trials Pytorch

My Solution to Assignments of CS234

AI各领域学习资料整理。（A collection of all skills and knowledges should be got command of to obtain an AI relevant job offer. There are online blogs, my personal blogs, electronic books copy.）

Initiative to read research papers

A curated list of Deep Learning

Reinforcement learning tutorials

Solving OpenAI Gym problems.

Safe Bayesian Optimization

Reinforcement Learning Cheat Sheet

Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.

Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

TensorFlow Tutorials with YouTube Videos

Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung

60_Days_RL_Challenge中文版

🙄 Difficult algorithm, Simple code.

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

A working implementation of the Categorical DQN (Distributional RL).

OpenAI's cartpole env solver.

MAGNet: Multi-agents control using Graph Neural Networks

SeqGAN tensorflow implementation

Reinforcement Learning for WeChat Jump

Highly Modular and Scalable Reinforcement Learning

Implementing reinforcement-learning algorithms for pysc2 -environment

Reinforcement Learning and Transfer Learning based StarCraft Micromanagement

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

Proximal Policy Optimization implementation with TensorFlow

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

A Platform for Many-agent Reinforcement Learning

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

Grid2Op a testbed platform to model sequential decision making in power systems.

🤖 Implements of Reinforcement Learning algorithms.

Simple tools for logging and visualizing, loading and training

Connecting Torch to StarCraft

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

We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.

Repository to accompany RSS 2018 paper on dexterous hand manipulation

Dataflow Programming for Machine Learning in R

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Direct Future Prediction (DFP ) in Keras

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

Learning human driver models from NGSIM data with imitation learning.

Maze Applied Reinforcement Learning Framework

Implementation of EMNLP 2017 Paper "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog" using PyTorch and ParlAI

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

강화학습에 대한 기본적인 알고리즘 구현

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

Using RGB Image as Visual Input for Mapless Robot Navigation

Machine learning, in numpy

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

A framework using TensorFlow.js for Deep Reinforcement Learning

Reinforcement learning environments for Torch7