firstbacksecondback
147 Results
|
Poster
|
Wed 9:00 |
ProMP: Proximal Meta-Policy Search Jonas Rothfuss · Dennis Lee · Ignasi Clavera · Tamim Asfour · Pieter Abbeel |
|
|
Poster
|
Wed 9:00 |
Deep Online Learning Via Meta-Learning: Continual Adaptation for Model-Based RL Anusha Nagabandi · Chelsea Finn · Sergey Levine |
|
|
Poster
|
Wed 14:30 |
Learning Self-Imitating Diverse Policies Tanmay Gangwani · Qiang Liu · Jian Peng |
|
|
Poster
|
Wed 9:00 |
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search Lars Buesing · Theophane Weber · Yori Zwols · Nicolas Heess · Sebastien Racaniere · Arthur Guez · Jean-Baptiste Lespiau |
|
|
Poster
|
Wed 9:00 |
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees Yuping Luo · Huazhe Xu · Yuanzhi Li · Yuandong Tian · Trevor Darrell · Tengyu Ma |
|
|
Poster
|
Wed 9:00 |
Policy Transfer with Strategy Optimization Wenhao Yu · C. Liu · Greg Turk |
|
|
Poster
|
Tue 9:00 |
StrokeNet: A Neural Painting Environment Ningyuan Zheng · Yf Jiang · Dingjiang Huang |
|
|
Poster
|
Wed 9:00 |
Meta-Learning Probabilistic Inference for Prediction Jonathan Gordon · John Bronskill · Matthias Bauer · Sebastian Nowozin · Richard E Turner |
|
|
Poster
|
Wed 9:00 |
Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams Mohammad Kachuee · Orpaz Goldstein · Kimmo Kärkkäinen · Sajad Darabi · Majid Sarrafzadeh |
|
|
Poster
|
Tue 9:00 |
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock · Jeff Donahue · Karen Simonyan |
|
|
Workshop
|
Mon 13:40 |
Uncovering Surprising Behaviors in Reinforcement Learning via Worst-Case Analysis Avraham Ruderman |
|
|
Poster
|
Thu 14:30 |
Temporal Difference Variational Auto-Encoder Karol Gregor · George Papamakarios · Frederic Besse · Lars Buesing · Theophane Weber |