papers
Publications (16)
cs.LG2015
Learning Continuous Control Policies by Stochastic Value Gradients
Nicolas Heess, Greg Wayne, David Silver +3
cs.AI2017
Emergence of Locomotion Behaviours in Rich Environments
Nicolas Heess, Dhruva TB, Srinivasan Sriram +9
cs.LG2016
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes
Jack W Rae, Jonathan J Hunt, Tim Harley +5
cs.LG2019
An investigation of model-free planning
Arthur Guez, Mehdi Mirza, Karol Gregor +10
cs.RO2016
Learning and Transfer of Modulated Locomotor Controllers
Nicolas Heess, Greg Wayne, Yuval Tassa +3
cs.LG2019
Neural probabilistic motor primitives for humanoid control
Josh Merel, Leonard Hasenclever, Alexandre Galashov +5
cs.LG2017
Generative Temporal Models with Memory
Mevlana Gemici, Chia-Chun Hung, Adam Santoro +5
cs.AI2018
Optimizing Agent Behavior over Long Time Scales by Transporting Value
Chia-Chun Hung, Timothy Lillicrap, Josh Abramson +5
stat.ML2018
The Kanerva Machine: A Generative Distributed Memory
Yan Wu, Greg Wayne, Alex Graves +1
cs.LG2018
Learning Attractor Dynamics for Generative Memory
Yan Wu, Greg Wayne, Karol Gregor +1
cs.AI2019
Hierarchical visuomotor control of humanoids
Josh Merel, Arun Ahuja, Vu Pham +5
cs.LG2017
Robust Imitation of Diverse Behaviors
Ziyu Wang, Josh Merel, Scott Reed +3
cs.NE2014
Neural Turing Machines
Alex Graves, Greg Wayne, Ivo Danihelka
cs.AI2018
Probing Physics Knowledge Using Tools from Developmental Psychology
Luis Piloto, Ari Weinstein, Dhruva TB +6
cs.NE2016
Associative Long Short-Term Memory
Ivo Danihelka, Greg Wayne, Benigno Uria +2
cs.LG2018
Unsupervised Predictive Memory in a Goal-Directed Agent
Greg Wayne, Chia-Chun Hung, David Amos +21