activity
20172023
most citedA Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity

192 citations · 197 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2023★ 1 cited

TacticAI: an AI assistant for football tactics

Zhe Wang, Petar Veličković, Daniel Hennes +20

Identifying key patterns of tactics implemented by rival teams, and developing effective responses, lies at the heart of modern football. However, doing so algorithmically remains…

cs.AI2022

BRExIt: On Opponent Modelling in Expert Iteration

Daniel Hernandez, Hendrik Baier, Michael Kaisers

Finding a best response policy is a central objective in game theory and multi-agent learning, with modern population-based training approaches employing reinforcement learning alg…

cs.AI2022

Online Planning in POMDPs with Self-Improving Simulators

Jinke He, Miguel Suau, Hendrik Baier +2

How can we plan efficiently in a large and complex environment when the time budget is limited? Given the original simulator of the environment, which may be computationally very d…

cs.AI2019

Automated Peer-to-peer Negotiation for Energy Contract Settlements in Residential Cooperatives

Shantanu Chakraborty, Tim Baarslag, Michael Kaisers

This paper presents an automated peer-to-peer negotiation strategy for settling energy contracts among prosumers in a Residential Energy Cooperative considering heterogeneity prosu…

cs.LG2019★ 2 cited

Robust Temporal Difference Learning for Critical Domains

Richard Klima, Daan Bloembergen, Michael Kaisers +1

We present a new Q-function operator for temporal difference (TD) learning methods that explicitly encodes robustness against significant rare events (SRE) in critical domains. The…

cs.MA2018

An Exchange Mechanism to Coordinate Flexibility in Residential Energy Cooperatives

Shantanu Chakraborty, Pablo Hernandez-Leal, Michael Kaisers

Energy cooperatives (ECs) such as residential and industrial microgrids have the potential to mitigate increasing fluctuations in renewable electricity generation, but only if thei…