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Steven James
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An Analysis of Monte Carlo Tree Search
S James, G Konidaris, B Rosman
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence …, 2017
652017
Multi-pass Q-networks for deep reinforcement learning with parameterised action spaces
CJ Bester, S James, G Konidaris
arXiv preprint arXiv:1905.04388, 2019
632019
Composing value functions in reinforcement learning
B Van Niekerk, S James, A Earle, B Rosman
International conference on machine learning, 6401-6409, 2019
57*2019
A Boolean Task Algebra for Reinforcement Learning
G Nangue Tasse, S James, B Rosman
Advances in Neural Information Processing Systems 33, 2020
532020
Learning Portable Representations for High-Level Planning
S James, B Rosman, G Konidaris
International Conference on Machine Learning, 2020
52*2020
Quantisation and Pruning for Neural Network Compression and Regularisation
K Paupamah, S James, R Klein
2020 International SAUPEC/RobMech/PRASA Conference, 1-6, 2020
322020
Generalisation in Lifelong Reinforcement Learning through Logical Composition
G Nangue Tasse, S James, B Rosman
International Conference on Learning Representations, 2022
17*2022
Llmatic: Neural architecture search via large language models and quality-diversity optimization
MU Nasir, S Earle, J Togelius, S James, C Cleghorn
arXiv preprint arXiv:2306.01102, 2023
142023
Autonomous Learning of Object-Centric Abstractions for High-Level Planning
S James, B Rosman, G Konidaris
International Conference on Learning Representations, 2022
132022
Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels
M Beukman, CW Cleghorn, S James
Proceedings of the Genetic and Evolutionary Computation Conference, 1028 - 1037, 2022
102022
Inter-and intra-domain knowledge transfer for related tasks in deep character recognition
N Kooverjee, S James, T Van Zyl
2020 International SAUPEC/RobMech/PRASA Conference, 1-6, 2020
72020
Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning
GN Tasse, D Jarvis, S James, B Rosman
The Twelfth International Conference on Learning Representations, 2024
6*2024
Investigating transfer learning in graph neural networks
N Kooverjee, S James, T Van Zyl
Electronics 11 (8), 1202, 2022
62022
Hierarchically composing level generators for the creation of complex structures
M Beukman, M Fokam, M Kruger, G Axelrod, M Nasir, B Ingram, ...
IEEE Transactions on Games, 2023
52023
Automatic encoding and repair of reactive high-level tasks with learned abstract representations
A Pacheck, S James, G Konidaris, H Kress-Gazit
The International Journal of Robotics Research 42 (4-5), 263-288, 2023
52023
World Value Functions: Knowledge Representation for Multitask Reinforcement Learning
G Nangue Tasse, S James, B Rosman
The 5th Multi-disciplinary Conference on Reinforcement Learning and Decision …, 2022
5*2022
Learning to Follow Language Instructions with Compositional Policies
V Cohen, GN Tasse, N Gopalan, S James, M Gombolay, B Rosman
AAAI Fall Symposium Series, 2021
42021
Dynamics generalisation in reinforcement learning via adaptive context-aware policies
M Beukman, D Jarvis, R Klein, S James, B Rosman
Thirty-seventh Conference on Neural Information Processing Systems, 2023
32023
Overlooked Implications of the Reconstruction Loss for VAE Disentanglement
N Michlo, R Klein, S James
Proceedings of the Thirty-Second International Joint Conference on …, 2023
32023
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks
A Pretorius, E Van Biljon, B van Niekerk, R Eloff, M Reynard, S James, ...
Pattern Recognition Letters 138, 95-105, 2020
32020
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Articles 1–20