Tom Le Paine

According to our database1, Tom Le Paine authored at least 20 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2015
2016
2017
2018
2019
2020
2021
2022
2023
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Reinforced Self-Training (ReST) for Language Modeling.
CoRR, 2023

AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning.
CoRR, 2023

π2vec: Policy Representations with Successor Features.
CoRR, 2023

2022
On Instrumental Variable Regression for Deep Offline Policy Evaluation.
J. Mach. Learn. Res., 2022

2021
Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization.
CoRR, 2021

Benchmarks for Deep Off-Policy Evaluation.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Hyperparameter Selection for Offline Reinforcement Learning.
CoRR, 2020

RL Unplugged: Benchmarks for Offline Reinforcement Learning.
CoRR, 2020

Acme: A Research Framework for Distributed Reinforcement Learning.
CoRR, 2020

Making Efficient Use of Demonstrations to Solve Hard Exploration Problems.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Grandmaster level in StarCraft II using multi-agent reinforcement learning.
Nat., 2019

Improving the Gating Mechanism of Recurrent Neural Networks.
CoRR, 2019

2018
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL.
CoRR, 2018

Playing hard exploration games by watching YouTube.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Fast Generation for Convolutional Autoregressive Models.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Fast Wavenet Generation Algorithm.
CoRR, 2016

Seq-NMS for Video Object Detection.
CoRR, 2016

How deep neural networks can improve emotion recognition on video data.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
An Analysis of Unsupervised Pre-training in Light of Recent Advances.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015


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