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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 6 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
POPL
1990
ACM
15 years 5 months ago
Concurrent Constraint Programming
Abstract. Concurrent constraint programming is a simple but powerful framework for computation based on four basic computational ideas: concurrency (multiple agents are simultaneou...
Vijay A. Saraswat, Martin C. Rinard
AAAI
2010
15 years 3 months ago
Modeling Dynamic Multi-Topic Discussions in Online Forums
In the form of topic discussions, users interact with each other to share knowledge and exchange information in online forums. Modeling the evolution of topic discussion reveals h...
Hao Wu, Jiajun Bu, Chun Chen, Can Wang, Guang Qiu,...
HIS
2008
15 years 3 months ago
New Crossover Operator for Evolutionary Rule Discovery in XCS
XCS is a learning classifier system that combines a reinforcement learning scheme with evolutionary algorithms to evolve rule sets on-line by means of the interaction with an envi...
Sergio Morales-Ortigosa, Albert Orriols-Puig, Este...
AIIDE
2006
15 years 3 months ago
Incorporating Advice into Neuroevolution of Adaptive Agents
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
Chern Han Yong, Kenneth O. Stanley, Risto Miikkula...