NIPS 2017

Neural Discrete Representation Learning

Authors: A van den Oord, O Vinyals, K Kavukcuoglu

arXiv 2017

Hierarchical Representations for Efficient Architecture Search

Authors: H Liu, K Simonyan, O Vinyals, C Fernando, K Kavukcuoglu

arXiv 2017

Understanding grounded language learning agents

Authors: F Hill, K M Hermann, P Blunsom, S Clark

Nature 2017

Mastering the game of Go without Human Knowledge

Authors: D Silver, J Schrittwieser, K Simonyan, I Antonoglou, A Huang, A Guez, T Hubert, L Baker, M Lai, A Bolton, Y Chen, T Lillicrap, Fan Hui, L Sifre, G van den Driessche, T Graepel, D Hassabis

NIPS 2017

A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning

Authors: M Lanctot, V Zambaldi, A Gruslys, A Lazaridou, K Tuyls, J Perolat, D Silver, T Graepel

arXiv 2017

Rainbow: Combining Improvements in Deep Reinforcement Learning

Authors: M Hessel, J Modayil, H van Hasselt, T Schaul, G Ostrovski, W Dabney, D Horgan, B Piot, M G Azar, D Silver

Nature Neuroscience 2017

Dorsal hippocampus contributes to model-based planning

Authors: K Miller, M Botvinick, C D Brody

NIPS 2017

Variational Memory Addressing in Generative Models

Authors: J Bornschein, A Mnih, D Zoran, DJ Rezende

Nature Human Behaviour 2017

The successor representation in human reinforcement learning

Authors: I Momennejad, E M Russek, J H Cheong, M Botvinick, N Daw, S J Gershman

ICCV 2017

Multi-Task Self-Supervised Visual Learning

Authors: C Doersch, A Zisserman

arXiv 2017

StarCraft II: A New Challenge for Reinforcement Learning

Authors: O Vinyals, D Silver, H van Hasselt, T Schaul, K Simonyan, S Petersen, S Gaffney, J Schrittwieser, J Agapiou, H Küttler, A Makhzani, M Yeo, A S Vezhnevets, P Georgiev, S Bartunov, T Ewalds, T Lillicrap, K Calderone, P Keet, A Brunasso, D Lawrence, A Ekermo, J Repp, R Tsing

arXiv 2017

Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards

Authors: M Vecerik, T Hester, J Scholz, F Wang, O Pietquin, B Piot, N Heess, T Rothörl, T Lampe, M Riedmiller

Neuron 2017

Neuroscience-Inspired Artificial Intelligence

Authors: D Hassabis, D Kumaran, C Summerfield, M Botvinick

arXiv 2017

DARLA: Improving Zero-Shot Transfer in Reinforcement Learning

Authors: I Higgins, A Pal, A Rusu, L Matthey, C Burgess, A Pritzel, M Botvinick, C Blundell, A Lerchner

arXiv 2017

On the State of the Art of Evaluation in Neural Language Models

Authors: G Melis, C Dyer, P Blunsom

NIPS 2017

Imagination-Augmented Agents for Deep Reinforcement Learning

Authors: T Weber, S Racaniere, D Reichert, L Buesing, A Guez, D J Rezende, A Puigdomènech, O Vinyals, N Heess, Y Li, R Pascanu, P Battaglia, D Silver, D Wierstra

arXiv 2017

Learning model-based planning from scratch

Authors: R Pascanu, Y Li, O Vinyals, N Heess, L Buesing, S Racaniere, D Reichert, T Weber, D Wierstra, P Battaglia

NIPS 2017

A multi-agent reinforcement learning model of common-pool resource appropriation

Authors: J Perolat, J Z Leibo, V Zambaldi, C Beattie, K Tuyls, T Graepel

ICML 2017

A Distributional Perspective on Reinforcement Learning

Authors: M G Bellemare, W Dabney, R Munos

arXiv 2017

The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously

Authors: S Cabi, S Gomez Colmenarejo, M W Hoffman, M Denil, Z Wang, N de Freitas