1.9k citations
- University of Illinois Urbana-ChampaignUS264 papers
- Fermi National Accelerator LaboratoryUS106 papers
- University of ChicagoUS99 papers
- Centre National de la Recherche ScientifiqueFR97 papers
- University College LondonGB91 papers
- Kavli Institute for Particle Astrophysics and CosmologyUS90 papers
- University of MichiganUS83 papers
- Princeton UniversityUS81 papers
- Center for Astrophysics Harvard & SmithsonianUS80 papers
- SLAC National Accelerator LaboratoryUS77 papers
- Stanford UniversityUS76 papers
- Sorbonne UniversitéFR75 papers
Showing 2016 · cs.LGShow all
2 papers · 2 filters
cs.LG2016★ 46 cited
Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening
Frank S. He, Yang Liu, Alexander G. Schwing +1
We propose a novel training algorithm for reinforcement learning which combines the strength of deep Q-learning with a constrained optimization approach to tighten optimality and e…
cs.LG2016★ 20 cited
Learning from Conditional Distributions via Dual Embeddings
Bo Dai, Niao He, Yunpeng Pan +2
Many machine learning tasks, such as learning with invariance and policy evaluation in reinforcement learning, can be characterized as problems of learning from conditional distrib…