Many multiagent problems comprise subtasks which can be considered as reinforcement learning (RL) problems. In addition to classical temporal difference methods, evolutionary algo...
Jan Hendrik Metzen, Mark Edgington, Yohannes Kassa...
Animal ecologists have successfully applied agent-based models to many different problems. Often, these focus on issues concerning collective behaviors, environmental interactions...
Based on the important progresses made in information retrieval (IR) in terms of theoretical models and evaluations, more and more attention has recently been paid to the research...
HIPs, or Human Interactive Proofs, are challenges meant to be easily solved by humans, while remaining too hard to be economically solved by computers. HIPs are increasingly used ...
Kumar Chellapilla, Kevin Larson, Patrice Y. Simard...
Reliability of nanometer circuits is becoming a major concern in today’s VLSI chip design due to interferences from multiple noise sources as well as radiation-induced soft erro...