Steven James

Julian Togelius

CoRR, 2024

Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LLMatic: Neural Architecture Search Via Large Language Models And Quality Diversity Optimization.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023

Automatic encoding and repair of reactive high-level tasks with learned abstract representations.

[BibT_eX]

[DOI]

Adam Pacheck

Hadas Kress-Gazit

Int. J. Robotics Res., April, 2023

MinePlanner: A Benchmark for Long-Horizon Planning in Large Minecraft Worlds.

[BibT_eX]

[DOI]

CoRR, 2023

Counting Reward Automata: Sample Efficient Reinforcement Learning Through the Exploitation of Reward Function Structure.

[BibT_eX]

[DOI]

CoRR, 2023

ROSARL: Reward-Only Safe Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Overlooked Implications of the Reconstruction Loss for VAE Disentanglement.

[BibT_eX]

[DOI]

Nathan Michlo

Richard Klein

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Augmentative Topology Agents For Open-Ended Learning.

[BibT_eX]

[DOI]

Muhammad Umair Nasir

Michael Beukman

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Synthesizing Navigation Abstractions for Planning with Portable Manipulation Skills.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

2022

Combining Evolutionary Search with Behaviour Cloning for Procedurally Generated Content.

[BibT_eX]

[DOI]

Nicholas Muir

CoRR, 2022

World Value Functions: Knowledge Representation for Learning and Planning.

[BibT_eX]

[DOI]

CoRR, 2022

Skill Machines: Temporal Logic Composition in Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

World Value Functions: Knowledge Representation for Multitask Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Learning Abstract and Transferable Representations for Planning.

[BibT_eX]

[DOI]

CoRR, 2022

Adaptive Online Value Function Approximation with Wavelets.

[BibT_eX]

[DOI]

CoRR, 2022

Data Overlap: A Prerequisite For Disentanglement.

[BibT_eX]

[DOI]

Nathan Michlo

Richard Klein

CoRR, 2022

Investigating Transfer Learning in Graph Neural Networks.

[BibT_eX]

[DOI]

Nishai Kooverjee

Terence L. van Zyl

CoRR, 2022

Towards Objective Metrics for Procedurally Generated Video Game Levels.

[BibT_eX]

[DOI]

Michael Beukman

CoRR, 2022

Generalisation in Lifelong Reinforcement Learning through Logical Composition.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Autonomous Learning of Object-Centric Abstractions for High-Level Planning.

[BibT_eX]

[DOI]

George Konidaris

Proceedings of the Tenth International Conference on Learning Representations, 2022

Procedural content generation using neuroevolution and novelty search for diverse video game levels.

[BibT_eX]

[DOI]

Michael Beukman

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021

Learning to Follow Language Instructions with Compositional Policies.

[BibT_eX]

[DOI]

CoRR, 2021

2020

If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

Learning Options from Demonstration using Skill Segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

Quantisation and Pruning for Neural Network Compression and Regularisation.

[BibT_eX]

[DOI]

Kimessha Paupamah

Richard Klein

CoRR, 2020

Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition.

[BibT_eX]

[DOI]

Nishai Kooverjee

Terence L. van Zyl

CoRR, 2020

A Boolean Task Algebra for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Portable Representations for High-Level Planning.

[BibT_eX]

[DOI]

George Konidaris

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces.

[BibT_eX]

[DOI]

Craig J. Bester

Steven D. James

CoRR, 2019

Composing Value Functions in Reinforcement Learning.

[BibT_eX]

[DOI]

Benjamin van Niekerk

Adam Christopher Earle

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Will it Blend? Composing Value Functions in Reinforcement Learning.

[BibT_eX]

[DOI]

Benjamin van Niekerk

Adam Christopher Earle

CoRR, 2018

Learning Portable Symbolic Representations.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

An Analysis of Monte Carlo Tree Search.

[BibT_eX]

[DOI]