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2020 – today
- 2024
[c8]Peter Vamplew, Cameron Foale, Conor F. Hayes, Patrick Mannion, Enda Howley, Richard Dazeley, Scott Johnson, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Willem Röpke, Diederik M. Roijers:
Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning. AAMAS 2024: 2717-2721- [i11]Kewen Ding, Peter Vamplew, Cameron Foale
, Richard Dazeley:
An Empirical Investigation of Value-Based Multi-objective Reinforcement Learning for Stochastic Environments. CoRR abs/2401.03163 (2024) - [i10]Peter Vamplew, Cameron Foale, Conor F. Hayes, Patrick Mannion, Enda Howley, Richard Dazeley, Scott Johnson, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Willem Röpke, Diederik M. Roijers:
Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning. CoRR abs/2402.02665 (2024) - [i9]Peter Vamplew, Cameron Foale, Richard Dazeley:
Value function interference and greedy action selection in value-based multi-objective reinforcement learning. CoRR abs/2402.06266 (2024) - [i8]Peter Vamplew, Conor F. Hayes, Cameron Foale, Richard Dazeley, Hadassah Harland:
Multi-objective Reinforcement Learning: A Tool for Pluralistic Alignment. CoRR abs/2410.11221 (2024) - 2023
- [j14]Adam Bignold, Francisco Cruz, Matthew E. Taylor, Tim Brys, Richard Dazeley, Peter Vamplew, Cameron Foale:
A conceptual framework for externally-influenced agents: an assisted reinforcement learning review. J. Ambient Intell. Humaniz. Comput. 14(4): 3621-3644 (2023) - [j13]Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale:
Human engagement providing evaluative and informative advice for interactive reinforcement learning. Neural Comput. Appl. 35(25): 18215-18230 (2023) - [j12]Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale:
Persistent rule-based interactive reinforcement learning. Neural Comput. Appl. 35(32): 23411-23428 (2023) - [c7]Peter Vamplew, Benjamin J. Smith, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Diederik M. Roijers, Conor F. Hayes, Friedrik Hentz, Patrick Mannion, Pieter J. K. Libin, Richard Dazeley, Cameron Foale:
Scalar Reward is Not Enough. AAMAS 2023: 839-841 - 2022
- [j11]Peter Vamplew, Benjamin J. Smith, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Diederik M. Roijers, Conor F. Hayes, Fredrik Heintz, Patrick Mannion, Pieter J. K. Libin, Richard Dazeley, Cameron Foale:
Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021). Auton. Agents Multi Agent Syst. 36(2): 41 (2022) - [j10]Budi Kurniawan, Peter Vamplew, Michael Papasimeon, Richard Dazeley, Cameron Foale:
Discrete-to-deep reinforcement learning methods. Neural Comput. Appl. 34(3): 1713-1733 (2022) - [j9]Peter Vamplew, Cameron Foale, Richard Dazeley:
The impact of environmental stochasticity on value-based multiobjective reinforcement learning. Neural Comput. Appl. 34(3): 1783-1799 (2022) - 2021
- [j8]Richard Dazeley, Peter Vamplew, Cameron Foale, Charlotte Young, Sunil Aryal, Francisco Cruz:
Levels of explainable artificial intelligence for human-aligned conversational explanations. Artif. Intell. 299: 103525 (2021) - [j7]Peter Vamplew, Cameron Foale, Richard Dazeley, Adam Bignold:
Potential-based multiobjective reinforcement learning approaches to low-impact agents for AI safety. Eng. Appl. Artif. Intell. 100: 104186 (2021) - [c6]Goodger Nikolaj, Peter Vamplew, Cameron Foale, Richard Dazeley:
Language Representations for Generalization in Reinforcement Learning. ACML 2021: 390-405 - [i7]Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale:
Persistent Rule-based Interactive Reinforcement Learning. CoRR abs/2102.02441 (2021) - [i6]Richard Dazeley, Peter Vamplew, Cameron Foale, Charlotte Young, Sunil Aryal, Francisco Cruz:
Levels of explainable artificial intelligence for human-aligned conversational explanations. CoRR abs/2107.03178 (2021) - [i5]Peter Vamplew, Benjamin J. Smith, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Diederik M. Roijers, Conor F. Hayes, Fredrik Heintz, Patrick Mannion, Pieter J. K. Libin, Richard Dazeley, Cameron Foale:
Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021). CoRR abs/2112.15422 (2021) - 2020
- [i4]Peter Vamplew, Cameron Foale, Richard Dazeley:
A Demonstration of Issues with Value-Based Multiobjective Reinforcement Learning Under Stochastic State Transitions. CoRR abs/2004.06277 (2020) - [i3]Budi Kurniawan, Peter Vamplew, Michael Papasimeon, Richard Dazeley, Cameron Foale:
Discrete-to-Deep Supervised Policy Learning. CoRR abs/2005.02057 (2020) - [i2]Adam Bignold, Francisco Cruz, Matthew E. Taylor, Tim Brys, Richard Dazeley, Peter Vamplew, Cameron Foale:
A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review. CoRR abs/2007.01544 (2020) - [i1]Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale:
Human Engagement Providing Evaluative and Informative Advice for Interactive Reinforcement Learning. CoRR abs/2009.09575 (2020)
2010 – 2019
- 2019
- [j6]Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Britt Klein:
Towards Machine Learning approach for Digital-Health intervention program. Aust. J. Intell. Inf. Process. Syst. 15(3): 16-24 (2019) - [c5]Budi Kurniawan, Peter Vamplew, Michael Papasimeon, Richard Dazeley, Cameron Foale:
An Empirical Study of Reward Structures for Actor-Critic Reinforcement Learning in Air Combat Manoeuvring Simulation. Australasian Conference on Artificial Intelligence 2019: 54-65 - 2018
- [j5]Alastair Lansley, Peter Vamplew, Cameron Foale, Philip Smith:
SoniFight: Software to Provide Additional Sonification Cues to Video Games for Visually Impaired Players. Comput. Games J. 7(2): 115-130 (2018) - [j4]Peter Vamplew, Richard Dazeley, Cameron Foale, Sally Firmin, Jane Mummery:
Human-aligned artificial intelligence is a multiobjective problem. Ethics Inf. Technol. 20(1): 27-40 (2018) - [j3]Peter Vamplew, Richard Dazeley, Cameron Foale, Tanveer A. Choudhury:
Non-functional regression: A new challenge for neural networks. Neurocomputing 314: 326-335 (2018) - [c4]Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Sunil Aryal, Britt Klein:
Modeling neurocognitive reaction time with gamma distribution. ACSW 2018: 28:1-28:10 - [c3]Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Sunil Aryal, Britt Klein:
Relevance of Frequency of Heart-Rate Peaks as Indicator of 'Biological' Stress Level. ICONIP (7) 2018: 598-609 - 2017
- [j2]Peter Vamplew, Rustam Issabekov, Richard Dazeley, Cameron Foale, Adam Berry, Tim Moore, Douglas C. Creighton:
Steering approaches to Pareto-optimal multiobjective reinforcement learning. Neurocomputing 263: 26-38 (2017) - [j1]Peter Vamplew, Richard Dazeley, Cameron Foale:
Softmax exploration strategies for multiobjective reinforcement learning. Neurocomputing 263: 74-86 (2017) - 2015
- [c2]Peter Vamplew, Rustam Issabekov, Richard Dazeley, Cameron Foale:
Reinforcement Learning of Pareto-Optimal Multiobjective Policies Using Steering. Australasian Conference on Artificial Intelligence 2015: 596-608
2000 – 2009
- 2007
- [c1]Cameron Foale, Peter Vamplew:
Portal-based sound propagation for first-person computer games. IE 2007: 9
Coauthor Index
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