Eligibility traces in deep RL create a peak bias by amplifying distal TD errors into gradient shocks that fixed-step SGD cannot normalize, leading to overestimation of peak-reward trajectories and a mechanistic account of the peak-end rule.
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cs.LG 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
Fourier embeddings create periodic vector representations that support Dirichlet and periodic Gaussian kernels within Spatial Semantic Pointers.
Radial basis kernels are realizable in spatial semantic pointers via distributed Fourier embeddings, with grid cell-like codes being capable and optimal.
citing papers explorer
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Trace-Mediated Peak Bias: Bridging Temporal Credit Assignment and Cognitive Heuristics in Deep Reinforcement Learning
Eligibility traces in deep RL create a peak bias by amplifying distal TD errors into gradient shocks that fixed-step SGD cannot normalize, leading to overestimation of peak-reward trajectories and a mechanistic account of the peak-end rule.
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On periodic distributed representations using Fourier embeddings
Fourier embeddings create periodic vector representations that support Dirichlet and periodic Gaussian kernels within Spatial Semantic Pointers.
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Neurally-plausible radial basis kernels using distributed Fourier embeddings
Radial basis kernels are realizable in spatial semantic pointers via distributed Fourier embeddings, with grid cell-like codes being capable and optimal.