462 Open source projects that are alternatives of or similar to reinforcement-learning-papers

Notes and comments about Deep Reinforcement Learning papers

No description or website provided.

Deep Reinforcement Learning Notes

深度学习论文阅读路线图

Hierarchical-DQN in pytorch (not actively maintained)

🤖 Implements of Reinforcement Learning algorithms.

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

No description or website provided.

Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.

Recent security papers on firmware analysis

A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.

Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

This is a repository for summarizing papers especially related to machine learning.

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

Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym

Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.

FSL-Mate: A collection of resources for few-shot learning (FSL).

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)

Fitness landscape exploration sandbox for biological sequence design.

Develop ultimate AI Pokémon trainer

Deep Reinforcement Learning for Robotic Grasping from Octrees

Deep reinforcement learning with tensorflow2

List of awesome papers on Polarization Imaging

Research repo of RL

Deep Reinforcement Learning Algorithms Implementation in PyTorch

Evaluating pre-trained navigation agents under corruptions

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

Curso de Aprendizaje por Refuerzo, de 0 a 100 con notebooks y slides muy sencillas para entenderlo todo perfectamente.

NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

Zotero compatiblity scripts for papis

PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020).

Summary of machine learning papers

With underflow, create trafic light clusters that interact together to regulate circulation

Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"

Summarizing the papers I have read (Japanese)

Machine- and Reinforcement Learning ExtensioN for (game) Engines

Code for our CVPR-2021 paper on Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings.

Collection of books/papers that I've read/I'm going to read/I would remember that they exist/It is unlikely that I'll read/I'll never read.

【仅作为交流学习使用】机器智能--相关书目及经典论文包括AutoML、情感分类、语音识别、声纹识别、语音合成实验代码等

An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.

AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning

This is a collection of papers and other resources related to fairness.

🐵 An AI chess-board-game framework(by many programming languages) implementations.

Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.

NLP 和机器学习论文中文翻译

Developing a deep neural network to play a snake game

End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo

Readings in Stream Processing

Booklet and exam of Artificial Intelligence Master Degree at Amirkabir University of technology.

No description or website provided.

Deep Developmental Reinforcement Learning

A GitHub repo for Quant Finance resources

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

Reinforcement Learning Demos