نتایج جستجو برای: breaking agent
تعداد نتایج: 297431 فیلتر نتایج به سال:
The typical artificial intelligence in gaming is single-agent. It is tasked with attacking the playing character and focuses so tightly on this objective that it acts as if it is the only enemy in the game. Typically it does not differentiate being in a setting where it is the only enemy attacking the player and a similar setting where there are multiple agents attacking the player [8]. These m...
We introduce a model for voting under uncertainty where a group of voters have to decide on a joint action to take, but the individual voters are uncertain about the current state of the world and thus about the effect that the chosen action would have. Each voter has preferences about what state they would like to see reached once the action has been executed. That is, we need to integrate two...
Nerve agents that irreversibly deactivate the enzyme acetylcholinesterase are extremely toxic weapons of mass destruction. Thus, developing methods to detect these lethal is important. To create an optical sensor for a surrogate nerve agent tabun, as well physical barrier dissolves in response this analyte, we devise network hydrogel decomposes via self-propagating cascade. A Meldrums acid-deri...
Objective(s):Sulfur mustard (SM) was used by the Iraqi army against the Iranian troops in the Iran-Iraq war from 1983–1988. This chemical gas affects different organs including the skin, lungs and the hematopoietic system. Any exposure to SM increases the risk of chromosomal breaking, hyperdiploidy and hypodiploidy. Studies have shown that the risk for acute myeloblastic and lymphoblastic leuke...
We examine ultraintelligent reinforcement learning agents. Reinforcement learning can only be used in the real world to define agents whose goal is to maximize expected rewards, and since this goal does not match with human goals, AGIs based on reinforcement learning will often work at cross-purposes to us. We define value learners, agents that can be designed to learn and maximize any initiall...
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