Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic

Shixiang Gu, Timothy Lillicrap, Zoubin Ghahramani +2

Learning to Make Analogies by Contrasting Abstract Relational Structure

Felix Hill, Adam Santoro, David G. T. Barrett +2

StarCraft II: A New Challenge for Reinforcement Learning

Oriol Vinyals, Timo Ewalds, Sergey Bartunov +22

DeepMind Control Suite

Yuval Tassa, Yotam Doron, Alistair Muldal +9

A simple neural network module for relational reasoning

Adam Santoro, David Raposo, David G. T. Barrett +4

Distributed Distributional Deterministic Policy Gradients

Gabriel Barth-Maron, Matthew W. Hoffman, David Budden +6

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

David Silver, Thomas Hubert, Julian Schrittwieser +10

Learning Latent Dynamics for Planning from Pixels

Danijar Hafner, Timothy Lillicrap, Ian Fischer +4

Data-efficient Deep Reinforcement Learning for Dexterous Manipulation

Ivaylo Popov, Nicolas Heess, Timothy Lillicrap +7

Deep Reinforcement Learning in Large Discrete Action Spaces

Gabriel Dulac-Arnold, Richard Evans, Hado van Hasselt +7

Recall Traces: Backtracking Models for Efficient Reinforcement Learning

Anirudh Goyal, Philemon Brakel, William Fedus +5

The Kanerva Machine: A Generative Distributed Memory

Yan Wu, Greg Wayne, Alex Graves +1

Matching Networks for One Shot Learning

Oriol Vinyals, Charles Blundell, Timothy Lillicrap +2

Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures

Sergey Bartunov, Adam Santoro, Blake A. Richards +3

Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning

Shixiang Gu, Timothy Lillicrap, Zoubin Ghahramani +3

Learning Attractor Dynamics for Generative Memory

Yan Wu, Greg Wayne, Karol Gregor +1

Relational Deep Reinforcement Learning

Vinicius Zambaldi, David Raposo, Adam Santoro +13

Episodic Curiosity through Reachability

Nikolay Savinov, Anton Raichuk, Raphaël Marinier +4

The paper introduces an episodic curiosity method that measures novelty by the number of steps needed to reach a current observation from past observations, providing an intrinsic…

Unsupervised Predictive Memory in a Goal-Directed Agent

Greg Wayne, Chia-Chun Hung, David Amos +21

Relational recurrent neural networks

Adam Santoro, Ryan Faulkner, David Raposo +7

One-shot Learning with Memory-Augmented Neural Networks

Adam Santoro, Sergey Bartunov, Matthew Botvinick +2

Learning Continuous Control Policies by Stochastic Value Gradients

Nicolas Heess, Greg Wayne, David Silver +3

Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates

Shixiang Gu, Ethan Holly, Timothy Lillicrap +1

Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette

Adam Santoro, Felix Hill, David Barrett +3

Noise Contrastive Priors for Functional Uncertainty

Danijar Hafner, Dustin Tran, Timothy Lillicrap +2

An investigation of model-free planning

Arthur Guez, Mehdi Mirza, Karol Gregor +10

Discovering objects and their relations from entangled scene representations

David Raposo, Adam Santoro, David Barrett +3

Learning and Transfer of Modulated Locomotor Controllers

Nicolas Heess, Greg Wayne, Yuval Tassa +3

Deep Compressed Sensing

Yan Wu, Mihaela Rosca, Timothy Lillicrap

Measuring abstract reasoning in neural networks

David G. T. Barrett, Felix Hill, Adam Santoro +2

Generative Temporal Models with Memory

Mevlana Gemici, Chia-Chun Hung, Adam Santoro +5

Optimizing Agent Behavior over Long Time Scales by Transporting Value

Chia-Chun Hung, Timothy Lillicrap, Josh Abramson +5