Browsing by Subject "reinforcement learning"
Now showing items 1-10 of 10
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A Pathway from the Midbrain to the Striatum is Critical to Multiple Forms of Vocal Learning and Modification in the Songbird
(2017)Many of the skills we value most as humans, such as speech and learning to play musical instruments, are learned in the absence of external reinforcement. However, the model systems most commonly used to study motor learning ... -
An Actor-Critic Circuit in the Songbird Enables Vocal Learning
(2020)The ability to learn and to modify complex vocal sequences requires extensive practice coupled with performance evaluation through auditory feedback. An efficient solution to the challenge of vocal learning, stemming from ... -
Computational Modeling of Multi-Agent, Continuous Decision Making in Competitive Contexts
(2021)Humans are able to make adaptive decisions with the goal of obtaining a goal, earning a reward, or avoiding punishment. While much is known about the behavior and corresponding underlying neural mechanism relating to this ... -
Efficient Bayesian Nonparametric Methods for Model-Free Reinforcement Learning in Centralized and Decentralized Sequential Environments
(2014)As a growing number of agents are deployed in complex environments for scientific research and human well-being, there are increasing demands for designing efficient learning algorithms for these agents to improve their ... -
Prosocial Reward Learning in Children and Adolescents.
(Front Psychol, 2016)Adolescence is a period of increased sensitivity to social contexts. To evaluate how social context sensitivity changes over development-and influences reward learning-we investigated how children and adolescents perceive ... -
Semantic Understanding for Augmented Reality and Its Applications
(2020-04-08)Although augmented reality (AR) devices and developer toolkits are becoming increasingly ubiquitous, current AR devices lack a semantic understanding of the user’s environment. Semantic understanding in an AR context is ... -
The Characteristics and Neural Substrates of Feedback-based Decision Process in Recognition Memory
(2008-04-10)The judgment of prior stimulus occurrence, generally referred to as item recognition, is perhaps the most heavily studied of all memory skills. A skilled recognition observer not only recovers high fidelity memory evidence, ... -
The Neurocomputational Basis of Serial Decision-Making
(2017)A hallmark of human behavior is serial decision-making, in which decisions are linked across time: the choices we make are informed by our past decisions and, in turn, influence our future decisions. Flexible, accurate ... -
Transfer Learning in Value-based Methods with Successor Features
(2023)This dissertation investigates the concept of transfer learning in a reinforcement learning (RL) context. Transfer learning is based on the idea that it is possible for an agent to use what it has learned in one task to ... -
Understanding and Modeling Human Planners’ Strategy in Human-automation Interaction in Treatment Planning Using Deep Learning and Reinforcement Learning
(2023)Purpose: Radiation therapy aims to deliver high energy radiation beam to eradicate cancer cells. Due to radiation toxicity to normal tissue, treatment planning process is needed to customize the radiation beam towards patient ...
