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ORCIDPavel Nahodil
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2010 – 2019
- 2014
[c12]Jaroslav Vitku, Pavel Nahodil:
Q-Learning Algorithm Module in Hybrid Artificial Neural Network Systems. CSOC 2014: 117-127- [c11]Jaroslav Vitku, Pavel Nahodil:
Reusable Reinforcement Learning for Modular Self Motivated Agents. ECMS 2014: 352-358 - 2013
- [c10]Pavel Nahodil, Jaroslav Vitku:
Autonomous Design Of Modular Intelligent Systems. ECMS 2013: 379-385 - 2012
- [c9]Pavel Nahodil, Jaroslav Vitku:
Learning Of Autonomous Agent In Virtual Environment. ECMS 2012: 373-379 - [p1]Pavel Nahodil, Jaroslav Vitku:
Novel Theory and Simulations of Anticipatory Behaviour in Artificial Life Domain. Advances in Intelligent Modelling and Simulation 2012: 131-164 - 2010
- [c8]Pavel Nahodil, Karel Kohout:
Types Of Anticipatory Behaving Agents In Artificial Life. ECMS 2010: 74-79
2000 – 2009
- 2009
- [c7]Pavel Nahodil:
Ethological Concepts In Hierarchical Reinforcement Learning And Control Of Intelligent Agents. ECMS 2009: 180-186 - 2007
- [c6]Karel Kohout, Pavel Nahodil:
Simulation Environment for Anticipatory Behaving Agents from the Artificial Life Domain. IVA 2007: 387-388 - [c5]Ahmed M. Elmahalawy, Pavel Nahodil:
Studying Anticipation Behavior in ALife Simulator. SGAI Conf. 2007: 369-374 - 2004
- [c4]David Rehor, Pavel Slavík, David Kadlecek, Pavel Nahodil:
Visualization of Dynamic Behaviour of Multi-Agent Systems. WSCG (Posters) 2004: 149-152 - 2003
- [c3]Pavel Nahodil, Pavel Slavík, David Rehor, David Kadlecek:
Dynamic Analysis of Agents' Behaviour - Combining ALife, Visualization and AI. ESAW 2003: 346-359 - [c2]David Kadlecek, David Rehor, Pavel Nahodil, Pavel Slavík:
Analysis of Virtual Agent Communities by Means of AI Techniques and Visualization. IVA 2003: 274-282 - 2001
- [c1]David Kadlecek, Pavel Nahodil:
New Hybrid Architecture in Artificial Life Simulation. ECAL 2001: 143-146
Coauthor Index
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