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» Learning Action Selection Network of Intelligent Agent
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ECAI
2010
Springer
15 years 24 days ago
Case-Based Multiagent Reinforcement Learning: Cases as Heuristics for Selection of Actions
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Multiagent Reinforcement Learning algorithms, combining Case-Based Reasoning...
Reinaldo A. C. Bianchi, Ramon López de M&aa...
AAAI
2004
15 years 1 months ago
Learning and Applying Competitive Strategies
Learning reusable sequences can support the development of expertise in many domains, either by improving decisionmaking quality or decreasing execution speed. This paper introduc...
Esther Lock, Susan L. Epstein
AI
2001
Springer
15 years 4 months ago
Imitation and Reinforcement Learning in Agents with Heterogeneous Actions
Reinforcement learning techniques are increasingly being used to solve di cult problems in control and combinatorial optimization with promising results. Implicit imitation can acc...
Bob Price, Craig Boutilier
ATAL
2003
Springer
15 years 5 months ago
Minimizing communication cost in a distributed Bayesian network using a decentralized MDP
In complex distributed applications, a problem is often decomposed into a set of subproblems that are distributed to multiple agents. We formulate this class of problems with a tw...
Jiaying Shen, Victor R. Lesser, Norman Carver
AAAI
2000
15 years 1 months ago
The Emergence Engine: A Behavior Based Agent Development Environment for Artists
Many artists are intrigued by the creative possibilities presented to them by virtual worlds populated with autonomous agents. Artists wishing to explore these possibilities face ...
Eitan Mendelowitz