Joel Veness

According to our database1, Joel Veness authored at least 44 papers between 2007 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Learning Universal Predictors.
CoRR, 2024

2023
Language Modeling Is Compression.
CoRR, 2023

Self-Predictive Universal AI.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Memory-Based Meta-Learning on Non-Stationary Distributions.
Proceedings of the International Conference on Machine Learning, 2023

Neural Networks and the Chomsky Hierarchy.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Randomized Positional Encodings Boost Length Generalization of Transformers.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
Beyond Bayes-optimality: meta-learning what you know you don't know.
CoRR, 2022

Reinforcement Learning with Information-Theoretic Actuation.
Proceedings of the Artificial General Intelligence - 15th International Conference, 2022

2021
Shaking the foundations: delusions in sequence models for interaction and control.
CoRR, 2021

Gated Linear Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Combinatorial Perspective on Transfer Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Online Learning in Contextual Bandits using Gated Linear Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Gaussian Gated Linear Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Gated Linear Networks.
CoRR, 2019

Meta-learning of Sequential Strategies.
CoRR, 2019

2018
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents.
J. Artif. Intell. Res., 2018

Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract).
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Online Learning with Gated Linear Networks.
CoRR, 2017

2016
Overcoming catastrophic forgetting in neural networks.
CoRR, 2016

The Forget-me-not Process.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Human-level control through deep reinforcement learning.
Nat., 2015

Online Learning of k-CNF Boolean Functions.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

The Arcade Learning Environment: An Evaluation Platform for General Agents (Extended Abstract).
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Compress and Control.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Online Learning of k-CNF Boolean Functions.
CoRR, 2014

Skip Context Tree Switching.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
The Arcade Learning Environment: An Evaluation Platform for General Agents.
J. Artif. Intell. Res., 2013

Monte Carlo *-Minimax Search.
Proceedings of the IJCAI 2013, 2013

Bayesian Learning of Recursively Factored Environments.
Proceedings of the 30th International Conference on Machine Learning, 2013

Partition Tree Weighting.
Proceedings of the 2013 Data Compression Conference, 2013

2012
Sparse Sequential Dirichlet Coding
CoRR, 2012

Sketch-Based Linear Value Function Approximation.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Context Tree Switching.
Proceedings of the 2012 Data Compression Conference, Snowbird, UT, USA, April 10-12, 2012, 2012

On Ensemble Techniques for AIXI Approximation.
Proceedings of the Artificial General Intelligence - 5th International Conference, 2012

Investigating Contingency Awareness Using Atari 2600 Games.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Approximate universal artificial intelligence and self-play learning for games.
PhD thesis, 2011

A Monte-Carlo AIXI Approximation.
J. Artif. Intell. Res., 2011

Variance Reduction in Monte-Carlo Tree Search.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

An Approximation of the Universal Intelligence Measure.
Proceedings of the Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 2011

2010
Monte-Carlo Planning in Large POMDPs.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Reinforcement Learning via AIXI Approximation.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
A Monte Carlo AIXI Approximation
CoRR, 2009

Bootstrapping from Game Tree Search.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2007
Effective Use of Transposition Tables in Stochastic Game Tree Search.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, 2007


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