8 citations · 14 across the 5 of their papers we have counts for
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cs.NE2021★ 1 cited
Tightening the Biological Constraints on Gradient-Based Predictive Coding
Nick Alonso, Emre Neftci
Predictive coding (PC) is a general theory of cortical function. The local, gradient-based learning rules found in one kind of PC model have recently been shown to closely approxim…
cs.LG2021★ 5 cited
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation
Jinwei Xing, Takashi Nagata, Kexin Chen +3
Despite the recent success of deep reinforcement learning (RL), domain adaptation remains an open problem. Although the generalization ability of RL agents is critical for the real…