Exacerbation of the credit assignment problem in rats with lesions of the medial prefrontal cortex is revealed by Bayesian analysis of behavior in the pre-solution period of learning
Sign Up to like & getrecommendations! Published in 2019 at "Behavioural Brain Research"
DOI: 10.1016/j.bbr.2019.112037
Abstract: Our internal models of the world help us to process information rapidly: in general model-based learning is more rapid than model-free learning. However, the cognitive flexibility required to overcome cognitive predispositions can let us down:… read more here.
Keywords: assignment problem; pre solution; solution period; problem ... See more keywords
Inferring neural activity before plasticity as a foundation for learning beyond backpropagation
Sign Up to like & getrecommendations! Published in 2024 at "Nature Neuroscience"
DOI: 10.1038/s41593-023-01514-1
Abstract: This paper introduces ‘prospective configuration’, a new principle for learning in neural networks, which differs from backpropagation and is more efficient in learning and more consistent with data on neural activity and behavior. For both… read more here.
Keywords: credit assignment; prospective configuration; backpropagation; neural activity ... See more keywords
Credit assignment between body and object probed by an object transportation task
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-13889-w
Abstract: It has been proposed that learning from movement errors involves a credit assignment problem: did I misestimate properties of the object or those of my body? For example, an overestimate of arm strength and an… read more here.
Keywords: transportation task; body object; credit assignment; body ... See more keywords
Cell-type-specific neuromodulation guides synaptic credit assignment in a spiking neural network.
Sign Up to like & getrecommendations! Published in 2021 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2111821118
Abstract: Brains learn tasks via experience-driven differential adjustment of their myriad individual synaptic connections, but the mechanisms that target appropriate adjustment to particular connections remain deeply enigmatic. While Hebbian synaptic plasticity, synaptic eligibility traces, and top-down… read more here.
Keywords: credit assignment; type specific; neuromodulation;
Learning credit assignment
Sign Up to like & getrecommendations! Published in 2020 at "Physical review letters"
DOI: 10.1103/physrevlett.125.178301
Abstract: Deep learning has achieved impressive prediction accuracies in a variety of scientific and industrial domains. However, the nested nonlinear feature of deep learning makes the learning highly nontransparent, i.e., it is still unknown how the… read more here.
Keywords: deep learning; credit assignment; learning credit; credit ... See more keywords
Attention With System Entropy for Optimizing Credit Assignment in Cooperative Multi-Agent Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2025.3563725
Abstract: In cooperative multi-agent reinforcement learning (MARL), value function factorization methods have been proposed to address the dimensionality explosion problem encountered in centralized training and decentralized execution (CTDE). The existing value function factorization methods lack a… read more here.
Keywords: multi agent; system; credit assignment; agent ... See more keywords
Neural mechanisms of credit assignment for delayed outcomes during contingent learning
Sign Up to like & getrecommendations! Published in 2025 at "eLife"
DOI: 10.7554/elife.101841
Abstract: Adaptive behavior in complex environments critically relies on the ability to appropriately link specific choices or actions to their outcomes. However, the neural mechanisms that support the ability to credit only those past choices believed… read more here.
Keywords: neural mechanisms; credit assignment; mechanisms credit; credit ... See more keywords