DARLA: Improving Zero-Shot Transfer in Reinforcement Learning

26 July 2017

Christopher P. Burgess

Alexander Pritzel

Papers citing "DARLA: Improving Zero-Shot Transfer in Reinforcement Learning"

20 / 70 papers shown

Title
Attentive Multi-Task Deep Reinforcement Learning Timo Bram Gino Brunner Oliver Richter Roger Wattenhofer CLL 15 18 0 05 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 25 371 0 01 Jul 2019
Generalization to Novel Objects using Prior Relational Knowledge V. Vijay Abhinav Ganesh Hanlin Tang Arjun K. Bansal GNN 13 6 0 26 Jun 2019
Unsupervised State Representation Learning in Atari Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm SSL 27 253 0 19 Jun 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Muhammad Waleed Gondal Manuel Wüthrich Ðorðe Miladinovic Francesco Locatello M. Breidt V. Volchkov J. Akpo Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD DRL 25 133 0 07 Jun 2019
The AI Driving Olympics at NeurIPS 2018 J. Zilly J. Tani Breandan Considine Bhairav Mehta Andrea F. Daniele ... R. Hristov S. Mallya Emilio Frazzoli A. Censi Liam Paull 11 14 0 06 Mar 2019
Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff Raphael Lopez Kaufman Rishabh Kabra Nicholas Watters Christopher P. Burgess Daniel Zoran Loic Matthey M. Botvinick Alexander Lerchner OCL SSL 13 499 0 01 Mar 2019
Neural Predictive Belief Representations Z. Guo M. G. Azar Bilal Piot Bernardo Avila-Pires Rémi Munos SSL 13 80 0 15 Nov 2018
Visual Semantic Navigation using Scene Priors Wei Yang X. Wang Ali Farhadi Abhinav Gupta Roozbeh Mottaghi LM&Ro 22 320 0 15 Oct 2018
Combined Reinforcement Learning via Abstract Representations Vincent François-Lavet Yoshua Bengio Doina Precup Joelle Pineau OffRL 24 89 0 12 Sep 2018
Learning Invariances for Policy Generalization Rémi Tachet des Combes Philip Bachman H. V. Seijen 12 12 0 07 Sep 2018
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning Marvin Zhang Sharad Vikram Laura M. Smith Pieter Abbeel Matthew J. Johnson Sergey Levine OffRL 13 41 0 28 Aug 2018
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study Zhenyu Wu Zhangyang Wang Zhaowen Wang Hailin Jin AAML PICV 12 153 0 22 Jul 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 13 535 0 12 Jul 2018
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation Shani Gamrian Yoav Goldberg 24 104 0 31 May 2018
Generative Temporal Models with Spatial Memory for Partially Observed Environments Marco Fraccaro Danilo Jimenez Rezende Yori Zwols Alexander Pritzel S. M. Ali Eslami Fabio Viola 23 28 0 25 Apr 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL Alex Nichol Vicki Pfau Christopher Hesse Oleg Klimov John Schulman VLM OffRL 13 177 0 10 Apr 2018
Understanding disentangling in $β$ -VAE Christopher P. Burgess I. Higgins Arka Pal Loic Matthey Nicholas Watters Guillaume Desjardins Alexander Lerchner CoGe DRL 7 822 0 10 Apr 2018
Building Generalizable Agents with a Realistic and Rich 3D Environment Yi Wu Yuxin Wu Georgia Gkioxari Yuandong Tian 3DV 50 338 0 07 Jan 2018
SCAN: Learning Hierarchical Compositional Visual Concepts I. Higgins Nicolas Sonnerat Loic Matthey Arka Pal Christopher P. Burgess Matko Bosnjak Murray Shanahan M. Botvinick Demis Hassabis Alexander Lerchner OCL DRL CoGe 13 51 0 11 Jul 2017