Michael Kaisers

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 40

Top Topics

Preference Learning

Electricity Markets

Automated Negotiation

Temporal Difference Learning

Top Venues

Publications

Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, Andras Gyorgy, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
Approximating the Core via Iterative Coalition Sampling. AAMAS (2024)
Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, Andras Gyorgy, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
Approximating the Core via Iterative Coalition Sampling. CoRR (2024)
Zhe Wang, Petar Velickovic, Daniel Hennes, Nenad Tomasev, Laurel Prince, Michael Kaisers, Yoram Bachrach, Romuald Elie, Li Kevin Wenliang, Federico Piccinini, William Spearman, Ian Graham, Jerome T. Connor, Yi Yang, Adrià Recasens, Mina Khan, Nathalie Beauguerlange, Pablo Sprechmann, Pol Moreno, Nicolas Heess, Michael Bowling, Demis Hassabis, Karl Tuyls
TacticAI: an AI assistant for football tactics. CoRR (2023)
Daniel Hernandez, Hendrik Baier, Michael Kaisers
BRExIt: On Opponent Modelling in Expert Iteration. IJCAI (2023)
Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek
Online Planning in POMDPs with Self-Improving Simulators. IJCAI (2022)
Daniel Willemsen, Hendrik Baier, Michael Kaisers
Value targets in off-policy AlphaZero: a new greedy backup. Neural Comput. Appl. 34 (3) (2022)
Daniel Hernandez, Hendrik Baier, Michael Kaisers
BRExIt: On Opponent Modelling in Expert Iteration. CoRR (2022)
Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek
Online Planning in POMDPs with Self-Improving Simulators. CoRR (2022)
Daniel Willemsen, Hendrik Baier, Michael Kaisers
Correction to: Value targets in off-policy AlphaZero: a new greedy backup. Neural Comput. Appl. 34 (23) (2022)
Hendrik Baier, Michael Kaisers
Novelty and MCTS. GECCO Companion (2021)
Tim Baarslag, Tijmen Elfrink, Faria Nassiri Mofakham, Thimjo Koça, Michael Kaisers, Reyhan Aydogan
Bargaining Chips: Coordinating One-to-Many Concurrent Composite Negotiations. WI/IAT (2021)
Hendrik Baier, Michael Kaisers
ME-MCTS: Online Generalization by Combining Multiple Value Estimators. IJCAI (2021)
Hendrik Baier, Michael Kaisers
Opponent-Pruning Paranoid Search. FDG (2020)
Michael Kaisers, Matthias Klein, Alexander Klauer
Grid-friendly Sustainable Local Energy Communities . ERCIM News 2020 (121) (2020)
Hendrik Baier, Michael Kaisers
Guiding Multiplayer MCTS by Focusing on Yourself. CoG (2020)
Shantanu Chakraborty, Pablo Hernandez-Leal, Michael Kaisers
An Exchange Mechanism to Coordinate Flexibility in Residential Energy Cooperatives. ICIT (2019)
Richard Klíma, Daan Bloembergen, Michael Kaisers, Karl Tuyls
Robust temporal difference learning for critical domains. CoRR (2019)
Haralambie Leahu, Michael Kaisers, Tim Baarslag
Preference Learning in Automated Negotiation Using Gaussian Uncertainty Models. AAMAS (2019)
Georgios Methenitis, Michael Kaisers, Han La Poutré
Forecast-Based Mechanisms for Demand Response. AAMAS (2019)
Shantanu Chakraborty, Tim Baarslag, Michael Kaisers
Automated Peer-to-peer Negotiation for Energy Contract Settlements in Residential Cooperatives. CoRR (2019)
Haralambie Leahu, Michael Kaisers, Tim Baarslag
Automated Negotiation with Gaussian Process-based Utility Models. IJCAI (2019)
Richard Klíma, Daan Bloembergen, Michael Kaisers, Karl Tuyls
Robust Temporal Difference Learning for Critical Domains. AAMAS (2019)
Shantanu Chakraborty, Tim Baarslag, Michael Kaisers
Energy Contract Settlements through Automated Negotiation in Residential Cooperatives. SmartGridComm (2018)
Shantanu Chakraborty, Pablo Hernandez-Leal, Michael Kaisers
An Exchange Mechanism to Coordinate Flexibility in Residential Energy Cooperatives. CoRR (2018)
Shantanu Chakraborty, Pablo Hernandez-Leal, Michael Kaisers
Coordinating Distributed and Flexible Resources: A Case-study of Residential Cooperatives. ISGT Europe (2018)
Shantanu Chakraborty, Tim Baarslag, Michael Kaisers
Energy Contract Settlements through Automated Negotiation in Residential Cooperatives. CoRR (2018)
Dimitrios Tsimpoukis, Tim Baarslag, Michael Kaisers, Nikolaos G. Paterakis
Automated Negotiations Under User Preference Uncertainty: A Linear Programming Approach. AT (2018)
Georgios Methenitis, Michael Kaisers, Han La Poutré
Renewable electricity trading through SLAs. Energy Inform. 1 (1) (2018)
Arzam Muzaffar Kotriwala, Pablo Hernandez-Leal, Michael Kaisers
Load Classification and Forecasting for Temporary Power Installations. ISGT Europe (2018)
Tim Baarslag, Michael Kaisers
The Value of Information in Automated Negotiation: A Decision Model for Eliciting User Preferences. AAMAS (2017)
Pablo Hernandez-Leal, Michael Kaisers
Towards a Fast Detection of Opponents in Repeated Stochastic Games. AAMAS Workshops (Selected Papers) (2017)
Tim Baarslag, Michael Kaisers, Enrico H. Gerding, Catholijn M. Jonker, Jonathan Gratch
Computers That Negotiate on Our Behalf: Major Challenges for Self-sufficient, Self-directed, and Interdependent Negotiating Agents. AAMAS Workshops (Visionary Papers) (2017)
Pablo Hernandez-Leal, Michael Kaisers, Tim Baarslag, Enrique Munoz de Cote
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity. CoRR (2017)
Georgios Methenitis, Michael Kaisers, Han La Poutré
SLA-Mechanisms for Electricity Trading under Volatile Supply and Varying Criticality of Demand. AAMAS (2017)
Tim Baarslag, Michael Kaisers, Enrico H. Gerding, Catholijn M. Jonker, Jonathan Gratch
When Will Negotiation Agents Be Able to Represent Us? The Challenges and Opportunities for Autonomous Negotiators. IJCAI (2017)
Timon V. Kanters, Frans A. Oliehoek, Michael Kaisers, Stan R. van den Bosch, Joep Grispen, Jeroen Hermans
Energy- and Cost-Efficient Pumping Station Control. AAAI (2016)
Felix N. Claessen, Michael Kaisers, Han La Poutré
Efficient balancing by effort-based activation of demand response services. ISGT Europe (2016)
Georgios Methenitis, Michael Kaisers, Han La Poutré
Incentivizing Intelligent Customer Behavior in Smart-Grids: A Risk-Sharing Tariff & Optimal Strategies. IJCAI (2016)
Sherief Abdallah, Michael Kaisers
Addressing Environment Non-Stationarity by Repeating Q-learning Updates. J. Mach. Learn. Res. 17 (2016)
Aliene van der Veen, Michael Kaisers
Computing the value of flexibility in electricity retail, ahead and balancing markets. ISGT Europe (2016)
Felix Claessen, Bart Liefers, Michael Kaisers, Han La Poutré
The value of online information for demand response in Walrasian electricity markets. ISGT Asia (2015)
Georgios Methenitis, Michael Kaisers, Han La Poutré
A multi-scale energy demand model suggests sharing market risks with intelligent energy cooperatives. ISGT Asia (2015)
Daan Bloembergen, Karl Tuyls, Daniel Hennes, Michael Kaisers
Evolutionary Dynamics of Multi-Agent Learning: A Survey. J. Artif. Intell. Res. 53 (2015)
Sherief Abdallah, Michael Kaisers
Improving Multi-agent Learners Using Less-Biased Value Estimators. WI-IAT (2) (2015)
Tobias Linnenberg, Alexander Fay, Michael Kaisers
Bottom-Up Demand Response by Following Local Energy Generation Voluntarily. AAAI (2015)
Marco Lützenberger, Tobias Küster, Thomas Konnerth, Alexander Thiele, Nils Masuch, Axel Heßler, Jan Keiser, Michael Burkhardt, Silvan Kaiser, Jakob Tonn, Michael Kaisers, Sahin Albayrak
A Multi-agent Approach to Professional Software Engineering. EMAS@AAMAS (2013)
Sherief Abdallah, Michael Kaisers
Addressing the policy-bias of q-learning by repeating updates. AAMAS (2013)
Haitham Bou-Ammar, Karl Tuyls, Michael Kaisers
Evolutionary Dynamics of Ant Colony Optimization. MATES (2012)
Michael Wunder, John Robert Yaros, Michael Kaisers, Michael L. Littman
A framework for modeling population strategies by depth of reasoning. AAMAS (2012)
Michael Kaisers, Daan Bloembergen, Karl Tuyls
A common gradient in multi-agent reinforcement learning. AAMAS (2012)
Marcel Neumann, Karl Tuyls, Michael Kaisers
Using Time as a Strategic Element in Continuous Double Auctions. MATES (2012)
Daniel Hennes, Daan Bloembergen, Michael Kaisers, Karl Tuyls, Simon Parsons
Evolutionary advantage of foresight in markets. GECCO (2012)
Sjriek Alers, Daan Bloembergen, Daniel Hennes, Steven de Jong, Michael Kaisers, Nyree Lemmens, Karl Tuyls, Gerhard Weiss
Bee-inspired foraging in an embodied swarm. AAMAS (2011)
Michael Kaisers, Daan Bloembergen, Karl Tuyls
Multi-agent Learning and the Reinforcement Gradient. EUMAS (2011)
Michael Kaisers, Karl Tuyls
FAQ-Learning in Matrix Games: Demonstrating Convergence Near Nash Equilibria, and Bifurcation of Attractors in the Battle of Sexes. Interactive Decision Theory and Game Theory (2011)
Michael Wunder, Michael Kaisers, John Robert Yaros, Michael L. Littman
Using iterated reasoning to predict opponent strategies. AAMAS (2011)
Daan Bloembergen, Michael Kaisers, Karl Tuyls
Empirical and theoretical support for lenient learning. AAMAS (2011)
Michael Wunder, Michael L. Littman, Michael Kaisers, John Robert Yaros
A Cognitive Hierarchy Model Applied to the Lemonade Game. Interactive Decision Theory and Game Theory (2010)
Michael Kaisers, Karl Tuyls
Frequency adjusted multi-agent Q-learning. AAMAS (2010)
Michael Kaisers, Karl Tuyls
Replicator Dynamics for Multi-agent Learning: An Orthogonal Approach. ALA (2009)
Marc J. V. Ponsen, Karl Tuyls, Michael Kaisers, Jan Ramon
An evolutionary game-theoretic analysis of poker strategies. Entertain. Comput. 1 (1) (2009)
Michael Kaisers, Karl Tuyls, Simon Parsons, Frank Thuijsman
An evolutionary model of multi-agent learning with a varying exploration rate. AAMAS (2) (2009)
Michael Kaisers, Karl Tuyls, Frank Thuijsman, Simon Parsons
Auction Analysis by Normal Form Game Approximation. IAT (2008)
H. Jaap van den Herik, Daniel Hennes, Michael Kaisers, Karl Tuyls, Katja Verbeeck
Multi-agent Learning Dynamics: A Survey. CIA (2007)