![:octocat: :octocat:](https://github.githubassets.com/images/icons/emoji/octocat.png)
-
KAIST
- South Korea
-
12:06
(UTC +09:00) - fedebotu.github.io
- @fedebotu
- https://rl4.co/
- in/federicoberto
- fede.botu
Highlights
- Pro
Block or Report
Block or report fedebotu
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseLists (1)
Sort Name ascending (A-Z)
Stars
Language
Sort by: Recently starred
Official repo for paper DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning.
Neural Optimal Transport with Lagrangian Costs
Benchmarking Large Neighborhood Search for Multi-Agent Path Finding
Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks. This tool combines the capa…
A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
Self-Labeling the Job Shop Scheduling Problem
[ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
yining043 / routefinder
Forked from ai4co/routefinderRouteFinder: Towards Foundation Models for Vehicle Routing Problems
Visualization Tool for ICAPS 2024 paper "On the prospects of incorporating large language models (llms) in automated planning and scheduling (aps)"
cecy07 / k-trains
Forked from fedebotu/k-trainsAn app for automatically reserving trains in Korea - both Korail and SRT - even when sold out
Easy to maintain open source documentation websites.
The web framework for content-driven websites. ⭐️ Star to support our work!
GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型
A Dynamic Environment to Evaluate Attacks and Defenses for LLM Agents.
[ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has been accepted at NeurIPS 2021.
Code to support my autonomous foosball playing robot
wouterkool / rl4co
Forked from ai4co/rl4coA PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
A Material Design Weather Application
Croissant is a high-level format for machine learning datasets that brings together four rich layers.