Reaching the Goal in Real-Time Heuristic Search: Scrubbing
... the number of states and, unfortunately, demonstrates that under common conditions the agent will necessarily have to revisit states many times – an undesirable phenomenon known as “scrubbing” in real-time heuristic search. We present the high-level argument immediately below and detail each step in ...
... the number of states and, unfortunately, demonstrates that under common conditions the agent will necessarily have to revisit states many times – an undesirable phenomenon known as “scrubbing” in real-time heuristic search. We present the high-level argument immediately below and detail each step in ...
3 Experiments
... When agents are unleashed, each agent adopts a role depending on its capability level. Each agent is generally inclined to move to occupy a role that is higher than its current role. It will improve its capabilities to qualify for the next higher role. Naturally, at some point in time all agents wil ...
... When agents are unleashed, each agent adopts a role depending on its capability level. Each agent is generally inclined to move to occupy a role that is higher than its current role. It will improve its capabilities to qualify for the next higher role. Naturally, at some point in time all agents wil ...
The Stochastic Response Dynamic: A New Approach to Learning
... the best responses from the best response dynamic with stochastic responses. In section 6 we provide an intuitive view as to why the stochastic response dynamic converges to Nash equilibrium by introducing a restrictive assumption on the game known as compatibility. In section 7, we drop the compati ...
... the best responses from the best response dynamic with stochastic responses. In section 6 we provide an intuitive view as to why the stochastic response dynamic converges to Nash equilibrium by introducing a restrictive assumption on the game known as compatibility. In section 7, we drop the compati ...
An efficient approach for finding the MPE in belief networks
... tions for the MPE is simply given right instantiation of all variables. This means that finding the MPE can be a search problem. We can use search with back tracking techniques to find the MPE, but it may not be an efficient way because the search complexity is exponential with respect to the number ...
... tions for the MPE is simply given right instantiation of all variables. This means that finding the MPE can be a search problem. We can use search with back tracking techniques to find the MPE, but it may not be an efficient way because the search complexity is exponential with respect to the number ...
