firstbacksecondback
187 Results
|
Poster
|
Wed 14:00 |
Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning Ofir Marom · Benjamin Rosman |
|
|
Poster
|
Wed 14:00 |
Dirichlet belief networks for topic structure learning He Zhao · Lan Du · Wray Buntine · Mingyuan Zhou |
|
|
Poster
|
Wed 14:00 |
Total stochastic gradient algorithms and applications in reinforcement learning Paavo Parmas |
|
|
Poster
|
Thu 14:00 |
Differentiable MPC for End-to-end Planning and Control Brandon Amos · Ivan Jimenez · Jacob I Sacks · Byron Boots · J. Zico Kolter |
|
|
Poster
|
Wed 14:00 |
Fighting Boredom in Recommender Systems with Linear Reinforcement Learning Romain WARLOP · Alessandro Lazaric · Jérémie Mary |
|
|
Poster
|
Thu 14:00 |
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion Jacob Buckman · Danijar Hafner · George Tucker · Eugene Brevdo · Honglak Lee |
|
|
Poster
|
Thu 14:00 |
Diverse Ensemble Evolution: Curriculum Data-Model Marriage Tianyi Zhou · Shengjie Wang · Jeffrey A Bilmes |
|
|
Poster
|
Thu 7:45 |
Learning latent variable structured prediction models with Gaussian perturbations Kevin Bello · Jean Honorio |
|
|
Poster
|
Thu 7:45 |
BRUNO: A Deep Recurrent Model for Exchangeable Data Iryna Korshunova · Jonas Degrave · Ferenc Huszar · Yarin Gal · Arthur Gretton · Joni Dambre |
|
|
Poster
|
Wed 14:00 |
Iterative Value-Aware Model Learning Amir-massoud Farahmand |
|
|
Poster
|
Thu 14:00 |
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua · Roberto Calandra · Rowan McAllister · Sergey Levine |
|
|
Poster
|
Thu 7:45 |
Meta-Learning MCMC Proposals Tongzhou Wang · YI WU · Dave Moore · Stuart Russell |