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» Learning Action Selection Network of Intelligent Agent
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AAAI
2008
13 years 9 months ago
Automating To-Do Lists for Users: Interpretation of To-Dos for Selecting and Tasking Agents
To-do lists have been found to be the most popular personal information management tools, yet there is no automated system to interpret and act upon them when appropriate on behal...
Yolanda Gil, Varun Ratnakar
PPSN
2004
Springer
14 years 23 days ago
Evolutionary Multi-agent Systems
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
Pieter Jan't Hoen, Edwin D. de Jong
AIIDE
2008
13 years 9 months ago
Agent Learning using Action-Dependent Learning Rates in Computer Role-Playing Games
We introduce the ALeRT (Action-dependent Learning Rates with Trends) algorithm that makes two modifications to the learning rate and one change to the exploration rate of traditio...
Maria Cutumisu, Duane Szafron, Michael H. Bowling,...
CIMCA
2005
IEEE
14 years 1 months ago
Opposition-Based Learning: A New Scheme for Machine Intelligence
Opposition-based learning as a new scheme for machine intelligence is introduced. Estimates and counter-estimates, weights and opposite weights, and actions versus counter-actions...
Hamid R. Tizhoosh
ATAL
2005
Springer
14 years 29 days ago
Automatic computer game balancing: a reinforcement learning approach
Designing agents whose behavior challenges human players adequately is a key issue in computer games development. This work presents a novel technique, based on reinforcement lear...
Gustavo Andrade, Geber Ramalho, Hugo Santana, Vinc...