From post

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

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 Brief Guide to Multi-Objective Reinforcement Learning and Planning., , , , , , , , , и 8 other автор(ы). AAMAS, стр. 1988-1990. ACM, (2023)A practical guide to multi-objective reinforcement learning and planning., , , , , , , , , и 8 other автор(ы). Auton. Agents Multi Agent Syst., 36 (1): 26 (2022)Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search., , , , и . CoRR, (2021)Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning., , , и . AAMAS, стр. 1524-1526. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Monte Carlo tree search algorithms for risk-aware and multi-objective reinforcement learning., , , , и . Auton. Agents Multi Agent Syst., 37 (2): 26 (октября 2023)Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning., , , и . CoRR, (2021)A Practical Guide to Multi-Objective Reinforcement Learning and Planning., , , , , , , , , и 8 other автор(ы). CoRR, (2021)Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning., , , , , и . CoRR, (2024)Pareto Conditioned Networks., , и . AAMAS, стр. 1110-1118. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)