Kaisers, Michael
21  Ergebnisse:
Personensuche X
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2

Bargaining Chips: Coordinating One-to-Many Concurrent Compo..:

, In: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology,
 
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3

Novelty and MCTS:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Baier, Hendrik ; Kaisers, Michael - p. 1483-1487 , 2021
 
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4

Opponent-Pruning Paranoid Search:

, In: Proceedings of the 15th International Conference on the Foundations of Digital Games,
Baier, Hendrik ; Kaisers, Michael - p. 1-7 , 2020
 
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5

Guiding Multiplayer MCTS by Focusing on Yourself:

, In: 2020 IEEE Conference on Games (CoG),
Baier, Hendrik ; Kaisers, Michael - p. 550-557 , 2020
 
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6

Preference Learning in Automated Negotiation Using Gaussian..:

, In: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems,
 
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7

Robust Temporal Difference Learning for Critical Domains:

, In: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems,
 
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8

Forecast-Based Mechanisms for Demand Response:

, In: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems,
 
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9

Automated Negotiations Under User Preference Uncertainty: A..:

, In: Agreement Technologies; Lecture Notes in Computer Science,
 
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10

The Value of Information in Automated Negotiation : A De..:

, In: Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems,
Baarslag, Tim ; Kaisers, Michael - p. 391-400 , 2017
 
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11

SLA-Mechanisms for Electricity Trading under Volatile Suppl..:

, In: Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems,
 
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12

Addressing the policy-bias of q-learning by repeating updat..:

, In: Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems,
Abdallah, Sherief ; Kaisers, Michael - p. 1045-1052 , 2013
 
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13

Evolutionary advantage of foresight in markets:

, In: Proceedings of the 14th annual conference on Genetic and evolutionary computation,
 
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14

A framework for modeling population strategies by depth of ..:

, In: Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 2,
 
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15

A common gradient in multi-agent reinforcement learning:

, In: Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3,
Kaisers, Michael ; Bloembergen, Daan ; Tuyls, Karl - p. 1393-1394 , 2012
 
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