9 citations · 15 across the 8 of their papers we have counts for
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cs.LG2021★ 9 cited
Risk-Aware Transfer in Reinforcement Learning using Successor Features
Michael Gimelfarb, André Barreto, Scott Sanner +1
Sample efficiency and risk-awareness are central to the development of practical reinforcement learning (RL) for complex decision-making. The former can be addressed by transfer le…
cs.LG2021★ 1 cited
Attentive Gaussian processes for probabilistic time-series generation
Kuilin Chen, Chi-Guhn Lee
The transduction of sequence has been mostly done by recurrent networks, which are computationally demanding and often underestimate uncertainty severely. We propose a computationa…