Follow
Steven James
Title
Cited by
Cited by
Year
An Analysis of Monte Carlo Tree Search
S James, G Konidaris, B Rosman
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence …, 2017
612017
Multi-pass Q-networks for deep reinforcement learning with parameterised action spaces
CJ Bester, SD James, GD Konidaris
arXiv preprint arXiv:1905.04388, 2019
532019
Composing value functions in reinforcement learning
B Van Niekerk, S James, A Earle, B Rosman
International conference on machine learning, 6401-6409, 2019
51*2019
Learning Portable Representations for High-Level Planning
S James, B Rosman, G Konidaris
International Conference on Machine Learning, 2020
49*2020
A Boolean Task Algebra for Reinforcement Learning
G Nangue Tasse, S James, B Rosman
Advances in Neural Information Processing Systems 33, 2020
482020
Quantisation and Pruning for Neural Network Compression and Regularisation
K Paupamah, S James, R Klein
2020 International SAUPEC/RobMech/PRASA Conference, 1-6, 2020
292020
Generalisation in Lifelong Reinforcement Learning through Logical Composition
G Nangue Tasse, S James, B Rosman
International Conference on Learning Representations, 2022
15*2022
Autonomous Learning of Object-Centric Abstractions for High-Level Planning
S James, B Rosman, G Konidaris
International Conference on Learning Representations, 2022
102022
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
82022
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
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
62023
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
52023
Skill Machines: Temporal Logic Composition in Reinforcement Learning
G Nangue Tasse, D Jarvis, S James, B Rosman
arXiv preprint arXiv:2205.12532, 2022
52022
Investigating transfer learning in graph neural networks
N Kooverjee, S James, T Van Zyl
Electronics 11 (8), 1202, 2022
52022
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
4*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
Hierarchically Composing Level Generators for the Creation of Complex Structures
M Beukman, M Fokam, M Kruger, G Axelrod, M Nasir, B Ingram, ...
arXiv preprint arXiv:2302.01561, 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
Learning Options from Demonstration using Skill Segmentation
M Cockcroft, S Mawjee, S James, P Ranchod
2020 International SAUPEC/RobMech/PRASA Conference, 1-6, 2020
32020
An Investigation into the Effectiveness of Heavy Rollouts in UCT
S James, B Rosman, G Konidaris
The IJCAI-16 Workshop on General Game Playing, 55 - 61, 2016
32016
The system can't perform the operation now. Try again later.
Articles 1–20