Cortical Signals for Rewarded Actions and Strategic Exploration
نویسندگان
چکیده
منابع مشابه
Cortical Signals for Rewarded Actions and Strategic Exploration
In stable environments, decision makers can exploit their previously learned strategies for optimal outcomes, while exploration might lead to better options in unstable environments. Here, to investigate the cortical contributions to exploratory behavior, we analyzed single-neuron activity recorded from four different cortical areas of monkeys performing a matching-pennies task and a visual sea...
متن کاملStrategic Attentive Writer for Learning Macro-Actions
We present a novel deep recurrent neural network architecture that learns to build implicit plans in an end-to-end manner by purely interacting with an environment in reinforcement learning setting. The network builds an internal plan, which is continuously updated upon observation of the next input from the environment. It can also partition this internal representation into contiguous subsequ...
متن کاملStrategic Disclosure of Collective Actions
The paper illustrates how decision makers may have an incentive to withhold information regarding the existence of Pareto improving collective actions. The resulting level of inefficiency varies with the way compromises are reached when the parties have to choose among multiple options. Various reasonable compromise rules can be ranked unequivocally, and a rule resulting in a minimal level of i...
متن کاملPreliminary exploration on actions as
This paper reports on the use of logic program updates to models actions that bring about changes in knowledge states describing the world and its rules. The LUPS language is employed to specify concurrent update rules to model actions that depend on, and change, rule rich world states, not described simply by propositional uents. This language and corresponding semantics, whose original stable...
متن کاملHeterogeneous Multirobot System for Exploration and Strategic Water Sampling
Physical sampling of water for off-site analysis is necessary for many applications like monitoring the quality of drinking water in reservoirs, understanding marine ecosystems, and measuring contamination levels in fresh-water systems. Persistent collection of physical water samples can be improved by automation. Robotic sampling makes it possible to strategically collect water samples based o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Neuron
سال: 2013
ISSN: 0896-6273
DOI: 10.1016/j.neuron.2013.07.040