31 citations
- Simon Fraser UniversityCA4 papers
- University of British ColumbiaCA3 papers
- Google (United States)US2 papers
- Brown UniversityUS1 paper
- Centrum Wiskunde & InformaticaNL1 paper
- Imperial College LondonGB1 paper
- Institute for Cognitive Science StudiesIR1 paper
- McGill UniversityCA1 paper
- North Carolina State UniversityUS1 paper
- University of TorontoCA1 paper
- University of WaterlooCA1 paper
- Vector InstituteCA1 paper
Showing 2020 · cs.LGShow all
3 papers · 2 filters
cs.LG2020★ 11 cited
CDT: Cascading Decision Trees for Explainable Reinforcement Learning
Zihan Ding, Pablo Hernandez-Leal, Gavin Weiguang Ding +2
Deep Reinforcement Learning (DRL) has recently achieved significant advances in various domains. However, explaining the policy of RL agents still remains an open problem due to se…
cs.LG2020★ 13 cited
Evaluating Lossy Compression Rates of Deep Generative Models
Sicong Huang, Alireza Makhzani, Yanshuai Cao +1
The field of deep generative modeling has succeeded in producing astonishingly realistic-seeming images and audio, but quantitative evaluation remains a challenge. Log-likelihood i…
cs.LG2020★ 3 cited
Variational Hyper RNN for Sequence Modeling
Ruizhi Deng, Yanshuai Cao, Bo Chang +3
In this work, we propose a novel probabilistic sequence model that excels at capturing high variability in time series data, both across sequences and within an individual sequence…