Michael Kaisers

71 papers A* 9A 15C 4Journal 20Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Active Evaluation of General Agents: Problem Definition and Comparison of Baseline Algorithms. CoRR Marc Lanctot, Kate Larson, Ian Gemp, Michael Kaisers
2025	A*	`conf`	Mastering Board Games by External and Internal Planning with Language Models. ICML John Schultz, Jakub Adámek, Matej Jusup, Marc Lanctot, Michael Kaisers, Sarah Perrin, Daniel Hennes, Jeremy Shar, Cannada A. Lewis, Anian Ruoss, Tom Zahavy, Petar Velickovic, Laurel Prince, Satinder Singh, Eric Malmi, Nenad Tomasev
2025	J	`jnl`	Novelty in Monte Carlo Tree Search. IEEE Trans. Games Hendrik Baier, Michael Kaisers
2025	A	`conf`	Soft Condorcet Optimization for Ranking of General Agents. AAMAS Marc Lanctot, Kate Larson, Michael Kaisers, Quentin Berthet, Ian Gemp, Manfred Diaz, Roberto-Rafael Maura-Rivero, Yoram Bachrach, Anna Koop, Doina Precup
2024	A	`conf`	Approximating the Core via Iterative Coalition Sampling. AAMAS Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, András György, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
2024	J	`jnl`	Approximating the Core via Iterative Coalition Sampling. CoRR Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, András György, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
2024	J	`jnl`	Mastering Board Games by External and Internal Planning with Language Models. CoRR John Schultz, Jakub Adámek, Matej Jusup, Marc Lanctot, Michael Kaisers, Sarah Perrin, Daniel Hennes, Jeremy Shar, Cannada A. Lewis, Anian Ruoss, Tom Zahavy, Petar Velickovic, Laurel Prince, Satinder Singh, Eric Malmi, Nenad Tomasev
2024	J	`jnl`	Soft Condorcet Optimization for Ranking of General Agents. CoRR Marc Lanctot, Kate Larson, Michael Kaisers, Quentin Berthet, Ian Gemp, Manfred Diaz, Roberto-Rafael Maura-Rivero, Yoram Bachrach, Anna Koop, Doina Precup
2023	A*	`conf`	BRExIt: On Opponent Modelling in Expert Iteration. IJCAI Daniel Hernandez, Hendrik Baier, Michael Kaisers
2023	J	`jnl`	TacticAI: an AI assistant for football tactics. CoRR 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
2022	J	`jnl`	BRExIt: On Opponent Modelling in Expert Iteration. CoRR Daniel Hernandez, Hendrik Baier, Michael Kaisers
2022	J	`jnl`	Correction to: Value targets in off-policy AlphaZero: a new greedy backup. Neural Comput. Appl. Daniel Willemsen, Hendrik Baier, Michael Kaisers
2022	A*	`conf`	Online Planning in POMDPs with Self-Improving Simulators. IJCAI Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek
2022	J	`jnl`	Online Planning in POMDPs with Self-Improving Simulators. CoRR Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek
2022	J	`jnl`	Value targets in off-policy AlphaZero: a new greedy backup. Neural Comput. Appl. Daniel Willemsen, Hendrik Baier, Michael Kaisers
2021	—	`conf`	Bargaining Chips: Coordinating One-to-Many Concurrent Composite Negotiations. WI/IAT Tim Baarslag, Tijmen Elfrink, Faria Nassiri Mofakham, Thimjo Koça, Michael Kaisers, Reyhan Aydogan
2021	A*	`conf`	ME-MCTS: Online Generalization by Combining Multiple Value Estimators. IJCAI Hendrik Baier, Michael Kaisers
2021	—	`conf`	Novelty and MCTS. GECCO Companion Hendrik Baier, Michael Kaisers
2020	J	`jnl`	Grid-friendly Sustainable Local Energy Communities . ERCIM News Michael Kaisers, Matthias Klein, Alexander Klauer
2020	C	`conf`	Guiding Multiplayer MCTS by Focusing on Yourself. CoG Hendrik Baier, Michael Kaisers
2020	C	`conf`	Opponent-Pruning Paranoid Search. FDG Hendrik Baier, Michael Kaisers
2019	—	`conf`	An Exchange Mechanism to Coordinate Flexibility in Residential Energy Cooperatives. ICIT Shantanu Chakraborty, Pablo Hernandez-Leal, Michael Kaisers
2019	A*	`conf`	Automated Negotiation with Gaussian Process-based Utility Models. IJCAI Haralambie Leahu, Michael Kaisers, Tim Baarslag
2019	J	`jnl`	Automated Peer-to-peer Negotiation for Energy Contract Settlements in Residential Cooperatives. CoRR Shantanu Chakraborty, Tim Baarslag, Michael Kaisers
2019	A	`conf`	Forecast-Based Mechanisms for Demand Response. AAMAS Georgios Methenitis, Michael Kaisers, Han La Poutré
2019	A	`conf`	Preference Learning in Automated Negotiation Using Gaussian Uncertainty Models. AAMAS Haralambie Leahu, Michael Kaisers, Tim Baarslag
2019	A	`conf`	Robust Temporal Difference Learning for Critical Domains. AAMAS Richard Klíma, Daan Bloembergen, Michael Kaisers, Karl Tuyls
2019	J	`jnl`	Robust temporal difference learning for critical domains. CoRR Richard Klíma, Daan Bloembergen, Michael Kaisers, Karl Tuyls
2018	J	`jnl`	An Exchange Mechanism to Coordinate Flexibility in Residential Energy Cooperatives. CoRR Shantanu Chakraborty, Pablo Hernandez-Leal, Michael Kaisers
2018	—	`conf`	Automated Negotiations Under User Preference Uncertainty: A Linear Programming Approach. AT Dimitrios Tsimpoukis, Tim Baarslag, Michael Kaisers, Nikolaos G. Paterakis
2018	—	`conf`	Coordinating Distributed and Flexible Resources: A Case-study of Residential Cooperatives. ISGT Europe Shantanu Chakraborty, Pablo Hernandez-Leal, Michael Kaisers
2018	—	`conf`	Energy Contract Settlements through Automated Negotiation in Residential Cooperatives. SmartGridComm Shantanu Chakraborty, Tim Baarslag, Michael Kaisers
2018	J	`jnl`	Energy Contract Settlements through Automated Negotiation in Residential Cooperatives. CoRR Shantanu Chakraborty, Tim Baarslag, Michael Kaisers
2018	—	`conf`	Load Classification and Forecasting for Temporary Power Installations. ISGT Europe Arzam Muzaffar Kotriwala, Pablo Hernandez-Leal, Michael Kaisers
2018	J	`jnl`	Renewable electricity trading through SLAs. Energy Inform. Georgios Methenitis, Michael Kaisers, Han La Poutré
2017	J	`jnl`	A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity. CoRR Pablo Hernandez-Leal, Michael Kaisers, Tim Baarslag, Enrique Munoz de Cote
2017	—	`conf`	Computers That Negotiate on Our Behalf: Major Challenges for Self-sufficient, Self-directed, and Interdependent Negotiating Agents. AAMAS Workshops (Visionary Papers) Tim Baarslag, Michael Kaisers, Enrico H. Gerding, Catholijn M. Jonker, Jonathan Gratch
2017	A	`conf`	SLA-Mechanisms for Electricity Trading under Volatile Supply and Varying Criticality of Demand. AAMAS Georgios Methenitis, Michael Kaisers, Han La Poutré
2017	A	`conf`	The Value of Information in Automated Negotiation: A Decision Model for Eliciting User Preferences. AAMAS Tim Baarslag, Michael Kaisers
2017	—	`conf`	Towards a Fast Detection of Opponents in Repeated Stochastic Games. AAMAS Workshops (Selected Papers) Pablo Hernandez-Leal, Michael Kaisers
2017	A*	`conf`	When Will Negotiation Agents Be Able to Represent Us? The Challenges and Opportunities for Autonomous Negotiators. IJCAI Tim Baarslag, Michael Kaisers, Enrico H. Gerding, Catholijn M. Jonker, Jonathan Gratch
2016	J	`jnl`	Addressing Environment Non-Stationarity by Repeating Q-learning Updates. J. Mach. Learn. Res. Sherief Abdallah, Michael Kaisers
2016	—	`conf`	Computing the value of flexibility in electricity retail, ahead and balancing markets. ISGT Europe Aliene van der Veen, Michael Kaisers
2016	—	`conf`	Efficient balancing by effort-based activation of demand response services. ISGT Europe Felix N. Claessen, Michael Kaisers, Han La Poutré
2016	A*	`conf`	Energy- and Cost-Efficient Pumping Station Control. AAAI Timon V. Kanters, Frans A. Oliehoek, Michael Kaisers, Stan R. van den Bosch, Joep Grispen, Jeroen Hermans
2016	A*	`conf`	Incentivizing Intelligent Customer Behavior in Smart-Grids: A Risk-Sharing Tariff & Optimal Strategies. IJCAI Georgios Methenitis, Michael Kaisers, Han La Poutré
2015	—	`conf`	A multi-scale energy demand model suggests sharing market risks with intelligent energy cooperatives. ISGT Asia Georgios Methenitis, Michael Kaisers, Han La Poutré
2015	A*	`conf`	Bottom-Up Demand Response by Following Local Energy Generation Voluntarily. AAAI Tobias Linnenberg, Alexander Fay, Michael Kaisers
2015	J	`jnl`	Evolutionary Dynamics of Multi-Agent Learning: A Survey. J. Artif. Intell. Res. Daan Bloembergen, Karl Tuyls, Daniel Hennes, Michael Kaisers
2015	—	`conf`	Improving Multi-agent Learners Using Less-Biased Value Estimators. WI-IAT (2) Sherief Abdallah, Michael Kaisers
2015	—	`conf`	The value of online information for demand response in Walrasian electricity markets. ISGT Asia Felix Claessen, Bart Liefers, Michael Kaisers, Han La Poutré
2013	—	`conf`	A Multi-agent Approach to Professional Software Engineering. EMAS@AAMAS Marco Lützenberger, Tobias Küster, Thomas Konnerth, Alexander Thiele, Nils Masuch, Axel Heßler, Jan Keiser, Michael Burkhardt, Silvan Kaiser, Jakob Tonn, Michael Kaisers, Sahin Albayrak
2013	A	`conf`	Addressing the policy-bias of q-learning by repeating updates. AAMAS Sherief Abdallah, Michael Kaisers
2012	A	`conf`	A common gradient in multi-agent reinforcement learning. AAMAS Michael Kaisers, Daan Bloembergen, Karl Tuyls
2012	A	`conf`	A framework for modeling population strategies by depth of reasoning. AAMAS Michael Wunder, John Robert Yaros, Michael Kaisers, Michael L. Littman
2012	—	`conf`	Evolutionary Dynamics of Ant Colony Optimization. MATES Haitham Bou-Ammar, Karl Tuyls, Michael Kaisers
2012	A	`conf`	Evolutionary advantage of foresight in markets. GECCO Daniel Hennes, Daan Bloembergen, Michael Kaisers, Karl Tuyls, Simon Parsons
2012	C	`ed.`	Multi-Agent Systems - 9th European Workshop, EUMAS 2011, Maastricht, The Netherlands, November 14-15, 2011. Revised Selected Papers EUMAS Massimo Cossentino, Michael Kaisers, Karl Tuyls, Gerhard Weiss
2012	—	`conf`	Using Time as a Strategic Element in Continuous Double Auctions. MATES Marcel Neumann, Karl Tuyls, Michael Kaisers
2011	A	`conf`	Bee-inspired foraging in an embodied swarm. AAMAS Sjriek Alers, Daan Bloembergen, Daniel Hennes, Steven de Jong, Michael Kaisers, Nyree Lemmens, Karl Tuyls, Gerhard Weiss
2011	A	`conf`	Empirical and theoretical support for lenient learning. AAMAS Daan Bloembergen, Michael Kaisers, Karl Tuyls
2011	—	`conf`	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 Michael Kaisers, Karl Tuyls
2011	C	`conf`	Multi-agent Learning and the Reinforcement Gradient. EUMAS Michael Kaisers, Daan Bloembergen, Karl Tuyls
2011	A	`conf`	Using iterated reasoning to predict opponent strategies. AAMAS Michael Wunder, Michael Kaisers, John Robert Yaros, Michael L. Littman
2010	—	`conf`	A Cognitive Hierarchy Model Applied to the Lemonade Game. Interactive Decision Theory and Game Theory Michael Wunder, Michael L. Littman, Michael Kaisers, John Robert Yaros
2010	A	`conf`	Frequency adjusted multi-agent Q-learning. AAMAS Michael Kaisers, Karl Tuyls
2009	J	`jnl`	An evolutionary game-theoretic analysis of poker strategies. Entertain. Comput. Marc J. V. Ponsen, Karl Tuyls, Michael Kaisers, Jan Ramon
2009	—	`conf`	An evolutionary model of multi-agent learning with a varying exploration rate. AAMAS (2) Michael Kaisers, Karl Tuyls, Simon Parsons, Frank Thuijsman
2009	—	`conf`	Replicator Dynamics for Multi-agent Learning: An Orthogonal Approach. ALA Michael Kaisers, Karl Tuyls
2008	—	`conf`	Auction Analysis by Normal Form Game Approximation. IAT Michael Kaisers, Karl Tuyls, Frank Thuijsman, Simon Parsons
2007	—	`conf`	Multi-agent Learning Dynamics: A Survey. CIA H. Jaap van den Herik, Daniel Hennes, Michael Kaisers, Karl Tuyls, Katja Verbeeck