Stebėti
Steven James
Pavadinimas
Cituota
Cituota
Metai
An Analysis of Monte Carlo Tree Search
S James, G Konidaris, B Rosman
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence …, 2017
832017
Multi-pass Q-networks for deep reinforcement learning with parameterised action spaces
CJ Bester, S James, G Konidaris
arXiv preprint arXiv:1905.04388, 2019
812019
Composing value functions in reinforcement learning
B Van Niekerk, S James, A Earle, B Rosman
International Conference on Machine Learning, 6401-6409, 2019
69*2019
A Boolean Task Algebra for Reinforcement Learning
G Nangue Tasse, S James, B Rosman
Advances in Neural Information Processing Systems 33, 2020
652020
Learning Portable Representations for High-Level Planning
S James, B Rosman, G Konidaris
International Conference on Machine Learning, 2020
64*2020
LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization
MU Nasir, S Earle, J Togelius, S James, C Cleghorn
Proceedings of the Genetic and Evolutionary Computation Conference, 1110-1118, 2024
532024
Quantisation and Pruning for Neural Network Compression and Regularisation
K Paupamah, S James, R Klein
2020 International SAUPEC/RobMech/PRASA Conference, 1-6, 2020
44*2020
Autonomous Learning of Object-Centric Abstractions for High-Level Planning
S James, B Rosman, G Konidaris
International Conference on Learning Representations, 2022
272022
Generalisation in Lifelong Reinforcement Learning through Logical Composition
G Nangue Tasse, S James, B Rosman
International Conference on Learning Representations, 2022
26*2022
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
192022
Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning
G Nangue Tasse, D Jarvis, S James, B Rosman
The Twelfth International Conference on Learning Representations, 2024
14*2024
Investigating transfer learning in graph neural networks
N Kooverjee, S James, T Van Zyl
Electronics 11 (8), 1202, 2022
142022
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
122023
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
102023
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 16 (2), 459-469, 2023
92023
Word2world: Generating stories and worlds through large language models
MU Nasir, S James, J Togelius
arXiv preprint arXiv:2405.06686, 2024
72024
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
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
52023
World Value Functions: Knowledge Representation for Learning and Planning
G Nangue Tasse, B Rosman, S James
Bridging the Gap Between AI Planning and Reinforcement Learning Workshop at …, 2022
5*2022
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
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