We study how to find plans that maximize the expected total utility for a given MDP, a planning objective that is important for decision making in high-stakes domains. The optimal...
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
In previous work we described a method for compactly representing graphs with small separators, which makes use of small separators, and presented preliminary experimental results...
: A lot of research has been developed for integrating the analysis functionality that is available in both analytic and geographic processing systems. The main goal is to provide ...
Reconfigurable supercomputing (RSC) combines programmable logic chips with high performance microprocessors, all communicating over a high bandwidth, low latency interconnection n...
Maya Gokhale, Christopher Rickett, Justin L. Tripp...