When exploring a game over a large strategy space, it may not be feasible or cost-effective to evaluate the payoff of every relevant strategy profile. For example, determining a p...
Patrick R. Jordan, Yevgeniy Vorobeychik, Michael P...
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...
The rapidly rising cost and environmental impact of energy consumption in data centers has become a multi-billion dollar concern globally. In response, the IT Industry is actively...
Rajarshi Das, Jeffrey O. Kephart, Charles Lefurgy,...
As a user attention has become a precious resource, a special care has to be taken to reduce the time needed for answering queries in P2P networks. Existing solutions are usually ...