( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Using iterated reasoning to predict opponent strategies.

, , , и . AAMAS, стр. 593-600. IFAAMAS, (2011)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Udo Kaisers

Wolfgang Kaisers

Udo Kaisers

Albrecht Kaisers

Harald Kaisers

 

Другие публикации лиц с тем же именем

A Multiagent Approach to Hyper-Redundant Manipulators, , и . Proceedings of the AAMAS 2008 Workshop on Adaptive Learning Agents and Multi-Agent Systems (ALAMAS+ALAg 2008), Estoril, Portugal, (мая 2008)Reinforcement Learning in Multi-agent Games - A value iteration perspective. (2007)Forecast-Based Mechanisms for Demand Response., , и . AAMAS, стр. 1600-1608. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Towards a Fast Detection of Opponents in Repeated Stochastic Games., и . AAMAS Workshops (Selected Papers), том 10642 из Lecture Notes in Computer Science, стр. 239-257. Springer, (2017)Addressing the policy-bias of q-learning by repeating updates., и . AAMAS, стр. 1045-1052. IFAAMAS, (2013)Bee-inspired foraging in an embodied swarm., , , , , , , и . AAMAS, стр. 1311-1312. IFAAMAS, (2011)The value of online information for demand response in Walrasian electricity markets., , , и . ISGT Asia, стр. 1-6. IEEE, (2015)Addressing Environment Non-Stationarity by Repeating Q-learning Updates., и . J. Mach. Learn. Res., (2016)ME-MCTS: Online Generalization by Combining Multiple Value Estimators., и . IJCAI, стр. 4032-4038. ijcai.org, (2021)Improving Multi-agent Learners Using Less-Biased Value Estimators., и . WI-IAT (2), стр. 120-124. IEEE Computer Society, (2015)978-1-4673-9618-9.