Richard Dazeley
Orcid: 0000-0002-6199-9685
According to our database1,
Richard Dazeley
authored at least 86 papers
between 2003 and 2024.
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Bibliography
2024
Elastic step DQN: A novel multi-step algorithm to alleviate overestimation in Deep Q-Networks.
Neurocomputing, 2024
Adaptive Alignment: Dynamic Preference Adjustments via Multi-Objective Reinforcement Learning for Pluralistic AI.
CoRR, 2024
IReCa: Intrinsic Reward-enhanced Context-aware Reinforcement Learning for Human-AI Coordination.
CoRR, 2024
Value function interference and greedy action selection in value-based multi-objective reinforcement learning.
CoRR, 2024
An Empirical Investigation of Value-Based Multi-objective Reinforcement Learning for Stochastic Environments.
CoRR, 2024
Proceedings of the Computational Visual Media - 12th International Conference, 2024
Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
2023
Neural Comput. Appl., November, 2023
Explainable robotic systems: understanding goal-driven actions in a reinforcement learning scenario.
Neural Comput. Appl., September, 2023
Human engagement providing evaluative and informative advice for interactive reinforcement learning.
Neural Comput. Appl., September, 2023
Neural Comput. Appl., August, 2023
Neural Comput. Appl., August, 2023
Neural Comput. Appl., August, 2023
Overcoming weaknesses of density peak clustering using a data-dependent similarity measure.
Pattern Recognit., May, 2023
Towards a Broad-Persistent Advising Approach for Deep Interactive Reinforcement Learning in Robotic Environments.
Sensors, March, 2023
A conceptual framework for externally-influenced agents: an assisted reinforcement learning review.
J. Ambient Intell. Humaniz. Comput., 2023
Current Status and Trends of Engineering Entrepreneurship Education in Australian Universities.
CoRR, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
A Wearable Multi-Sensor Fusion Approach for Gender Recognition based on Deep Learning.
Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
The impact of environmental stochasticity on value-based multiobjective reinforcement learning.
Neural Comput. Appl., 2022
Elastic Step DQN: A novel multi-step algorithm to alleviate overestimation in Deep QNetworks.
CoRR, 2022
Robust Pareto solutions for convex quadratic multiobjective optimization problems under data uncertainty.
Ann. Oper. Res., 2022
Auton. Agents Multi Agent Syst., 2022
Auton. Agents Multi Agent Syst., 2022
Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
2021
Neural Comput. Appl., 2021
Int. J. Mach. Learn. Cybern., 2021
Potential-based multiobjective reinforcement learning approaches to low-impact agents for AI safety.
Eng. Appl. Artif. Intell., 2021
A Broad-persistent Advising Approach for Deep Interactive Reinforcement Learning in Robotic Environments.
CoRR, 2021
CoRR, 2021
Levels of explainable artificial intelligence for human-aligned conversational explanations.
Artif. Intell., 2021
IEEE Access, 2021
Proceedings of the Asian Conference on Machine Learning, 2021
2020
Eng. Appl. Artif. Intell., 2020
CoRR, 2020
Explainable robotic systems: Interpreting outcome-focused actions in a reinforcement learning scenario.
CoRR, 2020
A Demonstration of Issues with Value-Based Multiobjective Reinforcement Learning Under Stochastic State Transitions.
CoRR, 2020
Proceedings of the Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, 2020
Proceedings of the HAI '20: 8th International Conference on Human-Agent Interaction, 2020
2019
An Empirical Study of Reward Structures for Actor-Critic Reinforcement Learning in Air Combat Manoeuvring Simulation.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019
2018
Ethics Inf. Technol., 2018
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018
2017
Neurocomputing, 2017
Neurocomputing, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2015
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015
2013
Nat. Lang. Eng., 2013
Nat. Lang. Eng., 2013
Proceedings of the Working Notes for CLEF 2013 Conference , 2013
2012
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2012
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2012
Proceedings of the International Symposium on Communications and Information Technologies, 2012
2011
Mach. Learn., 2011
Inf. Secur. Tech. Rep., 2011
Online knowledge validation with prudence analysis in a document management application.
Expert Syst. Appl., 2011
Fault-tolerant data aggregation scheme for monitoring of critical events in grid based healthcare sensor networks.
Proceedings of the 2011 Spring Simulation Multi-conference, 2011
2010
Consensus Clustering and Supervised Classification for Profiling Phishing Emails in Internet Commerce Security.
Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2010
Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2010
Proceedings of the 2010 eCrime Researchers Summit, 2010
2009
Constructing Stochastic Mixture Policies for Episodic Multiobjective Reinforcement Learning Tasks.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009
2008
Proceedings of the Knowledge Acquisition: Approaches, 2008
On the Limitations of Scalarisation for Multi-objective Reinforcement Learning of Pareto Fronts.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008
2004
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004
2003
Rated MCRDR: Finding non-Linear Relationships Between Classifications in MCRDR.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003
Weighted MCRDR: Deriving Information about Relationships between Classifications in MCRDR.
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003