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06/29/2023
Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis
To make reinforcement learning more sample efficient, we need better cre...
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07/04/2022
The least-control principle for learning at equilibrium
Equilibrium systems are a powerful way to express neural computations. A...
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04/14/2022
Minimizing Control for Credit Assignment with Strong Feedback
The success of deep learning attracted interest in whether the brain lea...
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06/15/2021
Credit Assignment in Neural Networks through Deep Feedback Control
The success of deep learning sparked interest in whether the brain learn...
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01/29/2021
Challenges for Using Impact Regularizers to Avoid Negative Side Effects
Designing reward functions for reinforcement learning is difficult: besi...
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06/25/2020
A Theoretical Framework for Target Propagation
The success of deep learning, a brain-inspired form of AI, has sparked i...
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06/22/2020