Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Wireless sensor networks have been traditionally designed to be privately owned and used. Hence the two hallmark features of sensor networks, namely customized network application...
Amiya Bhattacharya, Meddage S. Fernando, Partha Da...
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...
A major bottleneck in high-throughput protein crystallography is producing protein-structure models from an electrondensity map. In previous work, we developed Acmi, a probabilist...
Conventional WiFi networks perform channel contention in time domain. This is known to be wasteful because the channel is forced to remain idle, while all contending nodes are bac...
Souvik Sen, Romit Roy Choudhury, Srihari Nelakudit...