Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Renting, Bram"'
The research field of automated negotiation has a long history of designing agents that can negotiate with other agents. Such negotiation strategies are traditionally based on manual design and heuristics. More recently, reinforcement learning approa
Externí odkaz:
http://arxiv.org/abs/2406.15096
Autor:
Moerland, Thomas M., Müller-Brockhausen, Matthias, Yang, Zhao, Bernatavicius, Andrius, Ponse, Koen, Kouwenhoven, Tom, Sauter, Andreas, van der Meer, Michiel, Renting, Bram, Plaat, Aske
Due to the empirical success of reinforcement learning, an increasing number of students study the subject. However, from our practical teaching experience, we see students entering the field (bachelor, master and early PhD) often struggle. On the on
Externí odkaz:
http://arxiv.org/abs/2311.10590
We present a critical analysis of the simulation framework RICE-N, an integrated assessment model (IAM) for evaluating the impacts of climate change on the economy. We identify key issues with RICE-N, including action masking and irrelevant actions,
Externí odkaz:
http://arxiv.org/abs/2307.13894
As our submission for track three of the AI for Global Climate Cooperation (AI4GCC) competition, we propose a negotiation protocol for use in the RICE-N climate-economic simulation. Our proposal seeks to address the challenges of carbon leakage throu
Externí odkaz:
http://arxiv.org/abs/2307.13892
Bargaining can be used to resolve mixed-motive games in multi-agent systems. Although there is an abundance of negotiation strategies implemented in automated negotiating agents, most agents are based on single fixed strategies, while it is widely ac
Externí odkaz:
http://arxiv.org/abs/2212.10228
Bidding and acceptance strategies have a substantial impact on the outcome of negotiations in scenarios with linear additive and nonlinear utility functions. Over the years, it has become clear that there is no single best strategy for all negotiatio
Externí odkaz:
http://arxiv.org/abs/2004.00094