Cameron Foale - RankMe

35 papers A 2C 1Misc 1Journal 27Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An empirical investigation of value-based multi-objective reinforcement learning for stochastic environments. Knowl. Eng. Rev. Kewen Ding, Peter Vamplew, Cameron Foale, Richard Dazeley
2025	J	`jnl`	ES-C51: Expected Sarsa Based C51 Distributional Reinforcement Learning Algorithm. CoRR Rijul Tandon, Peter Vamplew, Cameron Foale
2024	J	`jnl`	An Empirical Investigation of Value-Based Multi-objective Reinforcement Learning for Stochastic Environments. CoRR Kewen Ding, Peter Vamplew, Cameron Foale, Richard Dazeley
2024	J	`jnl`	Multi-objective Reinforcement Learning: A Tool for Pluralistic Alignment. CoRR Peter Vamplew, Conor F. Hayes, Cameron Foale, Richard Dazeley, Hadassah Harland
2024	A	`conf`	Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning. AAMAS 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
2024	J	`jnl`	Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning. CoRR 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
2024	J	`jnl`	Value function interference and greedy action selection in value-based multi-objective reinforcement learning. CoRR Peter Vamplew, Cameron Foale, Richard Dazeley
2023	J	`jnl`	A conceptual framework for externally-influenced agents: an assisted reinforcement learning review. J. Ambient Intell. Humaniz. Comput. Adam Bignold, Francisco Cruz, Matthew E. Taylor, Tim Brys, Richard Dazeley, Peter Vamplew, Cameron Foale
2023	J	`jnl`	Human engagement providing evaluative and informative advice for interactive reinforcement learning. Neural Comput. Appl. Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale
2023	J	`jnl`	Persistent rule-based interactive reinforcement learning. Neural Comput. Appl. Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale
2023	A	`conf`	Scalar Reward is Not Enough. AAMAS 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
2022	J	`jnl`	Discrete-to-deep reinforcement learning methods. Neural Comput. Appl. Budi Kurniawan, Peter Vamplew, Michael Papasimeon, Richard Dazeley, Cameron Foale
2022	J	`jnl`	Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021). Auton. Agents Multi Agent Syst. 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
2022	J	`jnl`	The impact of environmental stochasticity on value-based multiobjective reinforcement learning. Neural Comput. Appl. Peter Vamplew, Cameron Foale, Richard Dazeley
2021	C	`conf`	Language Representations for Generalization in Reinforcement Learning. ACML Goodger Nikolaj, Peter Vamplew, Cameron Foale, Richard Dazeley
2021	J	`jnl`	Levels of explainable artificial intelligence for human-aligned conversational explanations. Artif. Intell. Richard Dazeley, Peter Vamplew, Cameron Foale, Charlotte Young, Sunil Aryal, Francisco Cruz
2021	J	`jnl`	Levels of explainable artificial intelligence for human-aligned conversational explanations. CoRR Richard Dazeley, Peter Vamplew, Cameron Foale, Charlotte Young, Sunil Aryal, Francisco Cruz
2021	J	`jnl`	Persistent Rule-based Interactive Reinforcement Learning. CoRR Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale
2021	J	`jnl`	Potential-based multiobjective reinforcement learning approaches to low-impact agents for AI safety. Eng. Appl. Artif. Intell. Peter Vamplew, Cameron Foale, Richard Dazeley, Adam Bignold
2021	J	`jnl`	Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021). CoRR 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
2020	J	`jnl`	A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review. CoRR Adam Bignold, Francisco Cruz, Matthew E. Taylor, Tim Brys, Richard Dazeley, Peter Vamplew, Cameron Foale
2020	J	`jnl`	A Demonstration of Issues with Value-Based Multiobjective Reinforcement Learning Under Stochastic State Transitions. CoRR Peter Vamplew, Cameron Foale, Richard Dazeley
2020	J	`jnl`	Discrete-to-Deep Supervised Policy Learning. CoRR Budi Kurniawan, Peter Vamplew, Michael Papasimeon, Richard Dazeley, Cameron Foale
2020	J	`jnl`	Human Engagement Providing Evaluative and Informative Advice for Interactive Reinforcement Learning. CoRR Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale
2019	—	`conf`	An Empirical Study of Reward Structures for Actor-Critic Reinforcement Learning in Air Combat Manoeuvring Simulation. Australasian Conference on Artificial Intelligence Budi Kurniawan, Peter Vamplew, Michael Papasimeon, Richard Dazeley, Cameron Foale
2019	J	`jnl`	Towards Machine Learning approach for Digital-Health intervention program. Aust. J. Intell. Inf. Process. Syst. Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Britt Klein
2018	J	`jnl`	Human-aligned artificial intelligence is a multiobjective problem. Ethics Inf. Technol. Peter Vamplew, Richard Dazeley, Cameron Foale, Sally Firmin, Jane Mummery
2018	—	`conf`	Modeling neurocognitive reaction time with gamma distribution. ACSW Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Sunil Aryal, Britt Klein
2018	J	`jnl`	Non-functional regression: A new challenge for neural networks. Neurocomputing Peter Vamplew, Richard Dazeley, Cameron Foale, Tanveer A. Choudhury
2018	—	`conf`	Relevance of Frequency of Heart-Rate Peaks as Indicator of 'Biological' Stress Level. ICONIP (7) Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Sunil Aryal, Britt Klein
2018	J	`jnl`	SoniFight: Software to Provide Additional Sonification Cues to Video Games for Visually Impaired Players. Comput. Games J. Alastair Lansley, Peter Vamplew, Cameron Foale, Philip Smith
2017	J	`jnl`	Softmax exploration strategies for multiobjective reinforcement learning. Neurocomputing Peter Vamplew, Richard Dazeley, Cameron Foale
2017	J	`jnl`	Steering approaches to Pareto-optimal multiobjective reinforcement learning. Neurocomputing Peter Vamplew, Rustam Issabekov, Richard Dazeley, Cameron Foale, Adam Berry, Tim Moore, Douglas C. Creighton
2015	—	`conf`	Reinforcement Learning of Pareto-Optimal Multiobjective Policies Using Steering. Australasian Conference on Artificial Intelligence Peter Vamplew, Rustam Issabekov, Richard Dazeley, Cameron Foale
2007	Misc	`conf`	Portal-based sound propagation for first-person computer games. IE Cameron Foale, Peter Vamplew