Results 51 to 60 of about 1,196,266 (277)

The peer teachers’ perception of intrinsic motivation and rewards [PDF]

open access: yesAdvances in Physiology Education, 2021
Peer-assisted learning (PAL) is an educational method commonly applied in academic teaching. It is characterized by the interplay between peer teachers and learners who are at a similar academic level. Although it has been shown that peer teachers benefit from participating in PAL, little is known about their perception of motivation and rewards. Here
Daniel Engels   +3 more
openaire   +2 more sources

Visual novelty, curiosity, and intrinsic reward in machine learning and the brain. [PDF]

open access: yesCurrent Opinion in Neurobiology, 2019
A strong preference for novelty emerges in infancy and is prevalent across the animal kingdom. When incorporated into reinforcement-based machine learning algorithms, visual novelty can act as an intrinsic reward signal that vastly increases the ...
Andrew Jaegle   +2 more
semanticscholar   +1 more source

An intrinsic reward mechanism for efficient exploration

open access: yesProceedings of the 23rd international conference on Machine learning - ICML '06, 2006
How should a reinforcement learning agent act if its sole purpose is to efficiently learn an optimal policy for later use? In other words, how should it explore, to be able to exploit later? We formulate this problem as a Markov Decision Process by explicitly modeling the internal state of the agent and propose a principled heuristic for its solution ...
Özgür Simsek, Andrew G. Barto
openaire   +2 more sources

The relationship between reward and probability: Evidence that exploration may be intrinsically rewarding [PDF]

open access: yesVisual Cognition, 2018
ABSTRACTThe probability of an event occurring and the reward associated with the event can both modulate behaviour.
Rosie Clark, Iain D. Gilchrist
openaire   +3 more sources

Discovering Intrinsic Reward with Contrastive Random Walk

open access: yesCoRR, 2022
9 pages, 6 ...
Zixuan Pan   +3 more
openaire   +2 more sources

A reward-learning framework of knowledge acquisition: An integrated account of curiosity, interest, and intrinsic-extrinsic rewards.

open access: yesPsychology Review, 2022
Recent years have seen a considerable surge of research on interest-based engagement, examining how and why people are engaged in activities without relying on extrinsic rewards.
K. Murayama
semanticscholar   +1 more source

Intrinsic and extrinsic reward synergies for innovative work behavior among South African knowledge workers

open access: yesPerson-centered review, 2022
PurposeThe purpose of this paper is to investigate whether organizational support for innovation and informational extrinsic rewards moderate the relationship between intrinsic motivation and innovative work behavior.Design/methodology/approachMultiple ...
Aveshan Venketsamy, Charlene C. Lew
semanticscholar   +1 more source

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

open access: yesFEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes   +3 more
wiley   +1 more source

Adapting Behavior via Intrinsic Reward: A Survey and Empirical Study

open access: yesJournal of Artificial Intelligence Research, 2020
Learning about many things can provide numerous benefits to a reinforcement learning system. For example, learning many auxiliary value functions, in addition to optimizing the environmental reward, appears to improve both exploration and representation ...
Cam Linke   +4 more
semanticscholar   +1 more source

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