Search Results for author: Leonardo Villalobos-Arias

Found 2 papers, 0 papers with code

Potential-Based Reward Shaping For Intrinsic Motivation

no code implementations12 Feb 2024 Grant C. Forbes, Nitish Gupta, Leonardo Villalobos-Arias, Colin M. Potts, Arnav Jhala, David L. Roberts

Recently there has been a proliferation of intrinsic motivation (IM) reward-shaping methods to learn in complex and sparse-reward environments.

Modeling Risk in Reinforcement Learning: A Literature Mapping

no code implementations8 Dec 2023 Leonardo Villalobos-Arias, Derek Martin, Abhijeet Krishnan, Madeleine Gagné, Colin M. Potts, Arnav Jhala

Our literature mapping covers literature from the last 5 years (2017-2022), from a variety of knowledge areas (AI, finance, engineering, medicine) where RL approaches emphasize risk representation and management.

Management reinforcement-learning +2

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