Greg Wayne

According to our database1, Greg Wayne authored at least 31 papers between 2014 and 2020.

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Bibliography

2020
Gaussian Gated Linear Networks.
CoRR, 2020

Probing Emergent Semantics in Predictive Agents via Question Answering.
CoRR, 2020

Product Kanerva Machines: Factorized Bayesian Memory.
CoRR, 2020

Deep neuroethology of a virtual rodent.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Reusable neural skill embeddings for vision-guided whole body movement and object manipulation.
CoRR, 2019

Exploiting Hierarchy for Learning and Transfer in KL-regularized RL.
CoRR, 2019

Experience Replay for Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Hindsight Credit Assignment.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Interval timing in deep reinforcement learning agents.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

An Investigation of Model-Free Planning.
Proceedings of the 36th International Conference on Machine Learning, 2019

Neural Probabilistic Motor Primitives for Humanoid Control.
Proceedings of the 7th International Conference on Learning Representations, 2019

Hierarchical Visuomotor Control of Humanoids.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Vector-based navigation using grid-like representations in artificial agents.
Nat., 2018

Optimizing Agent Behavior over Long Time Scales by Transporting Value.
CoRR, 2018

Probing Physics Knowledge Using Tools from Developmental Psychology.
CoRR, 2018

Unsupervised Predictive Memory in a Goal-Directed Agent.
CoRR, 2018

Learning Attractor Dynamics for Generative Memory.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

The Kanerva Machine: A Generative Distributed Memory.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017.
CoRR, 2017

Learning human behaviors from motion capture by adversarial imitation.
CoRR, 2017

Emergence of Locomotion Behaviours in Rich Environments.
CoRR, 2017

Generative Temporal Models with Memory.
CoRR, 2017

Robust Imitation of Diverse Behaviors.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Hybrid computing using a neural network with dynamic external memory.
Nat., 2016

Toward an Integration of Deep Learning and Neuroscience.
Frontiers Comput. Neurosci., 2016

Learning and Transfer of Modulated Locomotor Controllers.
CoRR, 2016

Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Associative Long Short-Term Memory.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Learning Continuous Control Policies by Stochastic Value Gradients.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Hierarchical Control Using Networks Trained with Higher-Level Forward Models.
Neural Computation, 2014

Neural Turing Machines.
CoRR, 2014


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