Theophane Weber

According to our database1, Theophane Weber authored at least 36 papers between 2008 and 2020.

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Bibliography

2020
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning.
CoRR, 2020

Value-driven Hindsight Modelling.
CoRR, 2020

Causally Correct Partial Models for Reinforcement Learning.
CoRR, 2020

Combining Q-Learning and Search with Amortized Value Estimates.
Proceedings of the 8th International Conference on Learning Representations, 2020

Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Unsupervised Doodling and Painting with Improved SPIRAL.
CoRR, 2019

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

Temporal Difference Variational Auto-Encoder.
Proceedings of the 7th International Conference on Learning Representations, 2019

Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search.
Proceedings of the 7th International Conference on Learning Representations, 2019

Credit Assignment Techniques in Stochastic Computation Graphs.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Learning and Querying Fast Generative Models for Reinforcement Learning.
CoRR, 2018

Relational recurrent neural networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Single-Agent Policy Tree Search With Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to Search with MCTSnets.
Proceedings of the 35th International Conference on Machine Learning, 2018

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

Imagination-Augmented Agents for Deep Reinforcement Learning.
CoRR, 2017

Visual Interaction Networks.
CoRR, 2017

Learning model-based planning from scratch.
CoRR, 2017

Visual Interaction Networks: Learning a Physics Simulator from Video.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Imagination-Augmented Agents for Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
An Optimization Platform for Digital Predistortion of Power Amplifiers.
IEEE Des. Test, 2016

Attend, Infer, Repeat: Fast Scene Understanding with Generative Models.
CoRR, 2016

Attend, Infer, Repeat: Fast Scene Understanding with Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Gradient Estimation Using Stochastic Computation Graphs.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Correlation Decay in Random Decision Networks.
Math. Oper. Res., 2014

2013
Automated Variational Inference in Probabilistic Programming
CoRR, 2013

2012
Quantifying Statistical Interdependence, Part III: <i>N</i> > 2 Point Processes.
Neural Computation, 2012

Accelerating Inference: towards a full Language, Compiler and Hardware stack
CoRR, 2012

2010
To Wave or Not to Wave? Order Release Policies for Warehouses with an Automated Sorter.
Manufacturing & Service Operations Management, 2010

PTAS for Maximum Weight Independent Set Problem with Random Weights in Bounded Degree Graphs.
Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, 2010

Low power logic for statistical inference.
Proceedings of the 2010 International Symposium on Low Power Electronics and Design, 2010

2009
Quantifying Statistical Interdependence by Message Passing on Graphs - Part II: Multidimensional Point Processes.
Neural Computation, 2009

Quantifying Statistical Interdependence by Message Passing on Graphs - Part I: One-Dimensional Point Processes.
Neural Computation, 2009

2008
An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

On Similarity Measures for Spike Trains.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Choosing the cost vector of the linear programming approach to approximate dynamic programming.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008


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