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A practical guide to multi-objective reinforcement learning and planning.

, , , , , , , , , , , , , , , , , и . Auton. Agents Multi Agent Syst., 36 (1): 26 (2022)

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Eugenio Rivera

Eugenio Fava

Eugenio Amato

Eugenio Polito

Eugenio Corecco

 

Другие публикации лиц с тем же именем

A practical guide to multi-objective reinforcement learning and planning., , , , , , , , , и 8 other автор(ы). Auton. Agents Multi Agent Syst., 36 (1): 26 (2022)Scalable Optimization for Wind Farm Control using Coordination Graphs., , , , , и . AAMAS, стр. 1362-1370. ACM, (2021)Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems., , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 491-499. PMLR, (2018)Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping., , , и . CoRR, (2020)Thompson Sampling for Factored Multi-Agent Bandits., , , , и . AAMAS, стр. 2029-2031. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Interactively Learning the User's Utility for Best-Arm Identification in Multi-Objective Multi-Armed Bandits., , , и . AAMAS, стр. 1611-1620. ACM, (2024)Thompson Sampling for Factored Multi-Agent Bandits., , , , и . CoRR, (2019)AI-Toolbox: A C++ library for Reinforcement Learning and Planning (with Python Bindings)., , и . J. Mach. Learn. Res., (2020)Interactive Multi-objective Reinforcement Learning in Multi-armed Bandits with Gaussian Process Utility Models., , , , , и . ECML/PKDD (3), том 12459 из Lecture Notes in Computer Science, стр. 463-478. Springer, (2020)A Virtual Maze Game to Explain Reinforcement Learning., , и . BNAIC/BENELEARN, том 2491 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)