Shane Legg

According to our database1, Shane Legg authored at least 43 papers between 2000 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Quantifying Differences in Reward Functions.
CoRR, 2020

The Incentives that Shape Behaviour.
CoRR, 2020

Pitfalls of Learning a Reward Function Online.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Learning Human Objectives by Evaluating Hypothetical Behavior.
CoRR, 2019

Meta-learning of Sequential Strategies.
CoRR, 2019

Understanding Agent Incentives using Causal Influence Diagrams. Part I: Single Action Settings.
CoRR, 2019

Penalizing Side Effects using Stepwise Relative Reachability.
Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

Modeling AGI Safety Frameworks with Causal Influence Diagrams.
Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

2018
Scaling shared model governance via model splitting.
CoRR, 2018

Scalable agent alignment via reward modeling: a research direction.
CoRR, 2018

Modeling Friends and Foes.
CoRR, 2018

Measuring and avoiding side effects using relative reachability.
CoRR, 2018

Agents and Devices: A Relative Definition of Agency.
CoRR, 2018

Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents.
CoRR, 2018

Reward learning from human preferences and demonstrations in Atari.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
Proceedings of the 35th International Conference on Machine Learning, 2018

Noisy Networks For Exploration.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
AI Safety Gridworlds.
CoRR, 2017

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

Symmetric Decomposition of Asymmetric Games.
CoRR, 2017

Noisy Networks for Exploration.
CoRR, 2017

Reinforcement Learning with a Corrupted Reward Channel.
CoRR, 2017

Deep Reinforcement Learning from Human Preferences.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Reinforcement Learning with a Corrupted Reward Channel.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Soft-Bayes: Prod for Mixtures of Experts with Log-Loss.
Proceedings of the International Conference on Algorithmic Learning Theory, 2017

2016
DeepMind Lab.
CoRR, 2016

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

Massively Parallel Methods for Deep Reinforcement Learning.
CoRR, 2015

Letter to the Editor: Research Priorities for Robust and Beneficial Artificial Intelligence: An Open Letter.
AI Magazine, 2015

2014
From academia to industry: The story of Google DeepMind.
Proceedings of the 2014 Imperial College Computing Student Workshop, 2014

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

2007
Algorithmic probability.
Scholarpedia, 2007

Universal Intelligence: A Definition of Machine Intelligence.
Minds Mach., 2007

Temporal Difference Updating without a Learning Rate.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
Fitness uniform optimization.
IEEE Trans. Evol. Comput., 2006

A Formal Measure of Machine Intelligence
CoRR, 2006

Is There an Elegant Universal Theory of Prediction?
Proceedings of the Algorithmic Learning Theory, 17th International Conference, 2006

Tests of Machine Intelligence.
Proceedings of the 50 Years of Artificial Intelligence, 2006

A Collection of Definitions of Intelligence.
Proceedings of the Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms, 2006

2005
A Universal Measure of Intelligence for Artificial Agents.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Fitness uniform deletion: a simple way to preserve diversity.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004
Tournament versus fitness uniform selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2000
Solving Problems with Finite Test Sets.
Proceedings of the Finite Versus Infinite, 2000


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