(Explainable) Algorithmic Recourse with Reinforcement Learning and MCTS (FARE and E-FARE)
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Updated
May 30, 2025 - Python
(Explainable) Algorithmic Recourse with Reinforcement Learning and MCTS (FARE and E-FARE)
PicTouRe - A Picture-Based Tourism Recommender
Intrinsic preferences of AI coding agents under underspecified prompts: Experiments across models (Claude, Gemini, GPT, etc)
Scenario-bounded preference elicitation and verification for design agents.
A Bayesian algorithm for pairwise preference elicitation
Code for the paper "Personalized Algorithmic Recourse with Preference Elicitation"
Run human–agent and human–robot negotiation studies with a local GUI, configurable strategies and session analysis. IJCAI 2024.
Robot appearance and negotiation: separate NAO/Pepper and NAO/QT study protocols, ranked preferences and analysis examples. HRI 2024.
SPEAR — sistema de elicitação de preferências por decomposição: aplicação Delphi/IntraWeb e camada web em Flask, CDSID/UFPE.
Simulador em Python que compara quatro heurísticas de elicitação de preferências em decisão multicritério — NumPy, CLI com argparse, testes em pytest. Projeto final do CS50P (Harvard).
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