Tom Schaul

According to our database1, Tom Schaul authored at least 71 papers between 2008 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Meta-Learning by the Baldwin Effect.
CoRR, 2018

Unicorn: Continual Learning with a Universal, Off-policy Agent.
CoRR, 2018

Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement.
Proceedings of the 35th International Conference on Machine Learning, 2018

Meta-learning by the Baldwin effect.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Meta-learning by the baldwin effect.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Deep Q-learning From Demonstrations.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Rainbow: Combining Improvements in Deep Reinforcement Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

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

Rainbow: Combining Improvements in Deep Reinforcement Learning.
CoRR, 2017

StarCraft II: A New Challenge for Reinforcement Learning.
CoRR, 2017

FeUdal Networks for Hierarchical Reinforcement Learning.
CoRR, 2017

Learning from Demonstrations for Real World Reinforcement Learning.
CoRR, 2017

Natural Value Approximators: Learning when to Trust Past Estimates.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Successor Features for Transfer in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

FeUdal Networks for Hierarchical Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

The Predictron: End-To-End Learning and Planning.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
The 2014 General Video Game Playing Competition.
IEEE Trans. Comput. Intellig. and AI in Games, 2016

The Predictron: End-To-End Learning and Planning.
CoRR, 2016

Reinforcement Learning with Unsupervised Auxiliary Tasks.
CoRR, 2016

Unifying Count-Based Exploration and Intrinsic Motivation.
CoRR, 2016

Successor Features for Transfer in Reinforcement Learning.
CoRR, 2016

Learning to learn by gradient descent by gradient descent.
CoRR, 2016

Unifying Count-Based Exploration and Intrinsic Motivation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning to learn by gradient descent by gradient descent.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Dueling Network Architectures for Deep Reinforcement Learning.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Analyzing the robustness of general video game playing agents.
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

General Video Game AI: Competition, Challenges and Opportunities.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Prioritized Experience Replay.
CoRR, 2015

Universal Value Function Approximators.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
An Extensible Description Language for Video Games.
IEEE Trans. Comput. Intellig. and AI in Games, 2014

Natural evolution strategies.
Journal of Machine Learning Research, 2014

2013
Adaptive learning rates and parallelization for stochastic, sparse, non-smooth gradients
CoRR, 2013

Unit Tests for Stochastic Optimization.
CoRR, 2013

Better Generalization with Forecasts.
Proceedings of the IJCAI 2013, 2013

No more pesky learning rates.
Proceedings of the 30th International Conference on Machine Learning, 2013

A linear time natural evolution strategy for non-separable functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

General Video Game Playing.
Proceedings of the Artificial and Computational Intelligence in Games, 2013

Towards a Video Game Description Language.
Proceedings of the Artificial and Computational Intelligence in Games, 2013

A video game description language for model-based or interactive learning.
Proceedings of the 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013

2012
Efficient Natural Evolution Strategies
CoRR, 2012

No More Pesky Learning Rates
CoRR, 2012

The organization of behavior into temporal and spatial neighborhoods.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Comparing natural evolution strategies to BIPOP-CMA-ES on noiseless and noisy black-box optimization testbeds.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Benchmarking natural evolution strategies with adaptation sampling on the noiseless and noisy black-box optimization testbeds.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Investigating the impact of adaptation sampling in natural evolution strategies on black-box optimization testbeds.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Benchmarking exponential natural evolution strategies on the noiseless and noisy black-box optimization testbeds.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Benchmarking separable natural evolution strategies on the noiseless and noisy black-box optimization testbeds.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Natural evolution strategies converge on sphere functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
Studies in Continuous Black-box Optimization.
PhD thesis, 2011

Measuring Intelligence through Games
CoRR, 2011

Natural Evolution Strategies
CoRR, 2011

A Linear Time Natural Evolution Strategy for Non-Separable Functions
CoRR, 2011

Q-Error as a Selection Mechanism in Modular Reinforcement-Learning Systems.
Proceedings of the IJCAI 2011, 2011

High dimensions and heavy tails for natural evolution strategies.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Curiosity-driven optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Coherence Progress: A Measure of Interestingness Based on Fixed Compressors.
Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

2010
Metalearning.
Scholarpedia, 2010

Exploring parameter space in reinforcement learning.
Paladyn, 2010

PyBrain.
Journal of Machine Learning Research, 2010

A Natural Evolution Strategy for Multi-objective Optimization.
Proceedings of the Parallel Problem Solving from Nature, 2010

Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients.
Proceedings of the Artificial Neural Networks, 2010

Exponential natural evolution strategies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
Ontogenetic and Phylogenetic Reinforcement Learning.
KI, 2009

Stochastic search using the natural gradient.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Scalable Neural Networks for Board Games.
Proceedings of the Artificial Neural Networks, 2009

Efficient natural evolution strategies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008
Fitness Expectation Maximization.
Proceedings of the Parallel Problem Solving from Nature, 2008

Countering Poisonous Inputs with Memetic Neuroevolution.
Proceedings of the Parallel Problem Solving from Nature, 2008

Episodic Reinforcement Learning by Logistic Reward-Weighted Regression.
Proceedings of the Artificial Neural Networks, 2008

A scalable neural network architecture for board games.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008

Natural Evolution Strategies.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008


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