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Poster
Mon 1:00 Batch Reinforcement Learning Through Continuation Method
Yijie Guo · Shengyu Feng · Nicolas Le Roux · Ed H. Chi · Honglak Lee · Minmin Chen
Poster
Mon 1:00 Mutual Information State Intrinsic Control
Rui Zhao · Yang Gao · Pieter Abbeel · Volker Tresp · Wei Xu
Poster
Mon 1:00 Temporally-Extended ε-Greedy Exploration
Will Dabney · Georg Ostrovski · Andre Barreto
Poster
Mon 1:00 Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
Xinyue Chen · Che Wang · Zijian Zhou · Keith Ross
Poster
Mon 9:00 Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Denis Yarats · Ilya Kostrikov · Rob Fergus
Poster
Mon 9:00 Rapid Task-Solving in Novel Environments
Samuel Ritter · Ryan Faulkner · Laurent Sartran · Adam Santoro · Matthew Botvinick · David Raposo
Poster
Mon 9:00 Learning-based Support Estimation in Sublinear Time
Talya Eden · Piotr Indyk · Shyam Narayanan · Ronitt Rubinfeld · Sandeep Silwal · Tal Wagner
Poster
Mon 9:00 Symmetry-Aware Actor-Critic for 3D Molecular Design
Gregor Simm · Robert Pinsler · Gábor Csányi · José Miguel Hernández Lobato
Poster
Mon 9:00 Representation learning for improved interpretability and classification accuracy of clinical factors from EEG
Garrett Honke · Irina Higgins · Nina Thigpen · Vladimir Miskovic · Katie Link · Sunny Duan · Pramod Gupta · Julia Klawohn · Greg Hajcak
Poster
Mon 9:00 Planning from Pixels using Inverse Dynamics Models
Keiran Paster · Sheila McIlraith · Jimmy Ba
Poster
Mon 9:00 The Risks of Invariant Risk Minimization
Elan Rosenfeld · Pradeep K Ravikumar · Andrej Risteski
Poster
Mon 9:00 On the role of planning in model-based deep reinforcement learning
Jessica Hamrick · Abram Friesen · Feryal Behbahani · Arthur Guez · Fabio Viola · Sims Witherspoon · Thomas Anthony · Lars Buesing · Petar Veličković · Theophane Weber