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

The official code repo for HyperAgent algorithm published in ICML 2024.

Python library for solving reinforcement learning (RL) problems using generative models.

Python library for solving reinforcement learning (RL) problems using generative models (e.g. Diffusion Models).

A Python package that provides a simple framework for working with Options in Reinforcement Learning.

A Fast, Portable Deep Reinforcement Learning Library for Continuous Control

Reposotorio donde exploro los distintos algoritmos de machine learning en Python y de ser posible tambien en R

⛰ Reinforcement learning model trying to make car reach to top of mountain

Python interface for (multi-agent) reinforcement learning to the CATS model [Delli Gatti (2011), Assenza (2017)].

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

This repository contains the source code for our paper: "NaviSTAR: Socially Aware Robot Navigation with Hybrid Spatio-Temporal Graph Transformer and Preference Learning". For more details, please refer to our project website at https://sites.google.com/view/san-navistar.

🔋 Datasets with baselines for offline multi-agent reinforcement learning.

A simulation of the robot navigation problem in Gymnasium.

This repository contains the research papers, white papers, thesis etc that I love.

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

A collection of RL gym environments built with PyBullet. In these environments, the agent needs to learn to grasp deformable object such as shoe insoles or pillows.

A paper list of my history reading. Robotics, Learning, Vision.

A collection of optimization puzzles and problems solved using mostly mixed integer programming.

Fast and differentiable particle accelerator optics simulation for reinforcement learning and optimisation applications.

Code for "Traffic Signal Cycle Control with Centralized Critic and Decentralized Actors under Varying Intervention Frequencies"