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Luis Santos

3 accepted papers

2021

PettingZoo: Gym for Multi-Agent Reinforcement Learning

NeurIPS 2021poster

This paper introduces the PettingZoo library and the accompanying Agent Environment Cycle (``"AEC") games model. PettingZoo is a library of diverse sets of multi-agent environments with a universal, elegant Python API. PettingZoo was developed with the goal of accelerating research in Multi-Agent Re…

2018

An Extended Bayesian User Model (BUM) for Capturing Cultural Attributes with a Social Robot

IROS 2018poster

In this work we propose a Bayesian User Model which is able capture a unified representation of cultural attributes from heterogeneous information in the context of Human-Robot Interaction. Despite the latest advances in robotic technologies, virtually no robots are able to cope with the specificiti…

Cited by 0SourceScholar