Peter Vamplew
Orcid: 0000-0002-8687-4424Affiliations:
- University of Ballarat, Victoria, Australia
According to our database1,
Peter Vamplew
authored at least 94 papers
between 1995 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
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
Comput. Hum. Behav., 2024
Proceedings of the Forty-first International Conference on Machine Learning, 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
A conceptual framework for externally-influenced agents: an assisted reinforcement learning review.
J. Ambient Intell. Humaniz. Comput., 2023
Intent-aligned AI systems deplete human agency: the need for agency foundations research in AI safety.
CoRR, 2023
Proceedings of the International Joint Conference on Neural Networks, 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
An online scalarization multi-objective reinforcement learning algorithm: TOPSIS Q-learning.
Knowl. Eng. Rev., 2022
Elastic Step DQN: A novel multi-step algorithm to alleviate overestimation in Deep QNetworks.
CoRR, 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
Potential-based multiobjective reinforcement learning approaches to low-impact agents for AI safety.
Eng. Appl. Artif. Intell., 2021
Levels of explainable artificial intelligence for human-aligned conversational explanations.
Artif. Intell., 2021
Proceedings of the Asian Conference on Machine Learning, 2021
2020
Eng. Appl. Artif. Intell., 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 19th IEEE International Conference on Trust, 2020
Unified Expression Ripple Down Rules based Fraud Detection Technique for Scalable Data.
Proceedings of the Advances in Data Mining, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the Australasian Computer Science Week, 2020
2019
Proceedings of the Encyclopedia of Computer Graphics and Games., 2019
Cybersecur., 2019
Proceedings of the 18th IEEE International Conference On Trust, 2019
Enhancing Model Performance for Fraud Detection by Feature Engineering and Compact Unified Expressions.
Proceedings of the Algorithms and Architectures for Parallel Processing, 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
Integrating Biological Heuristics and Gene Expression Data for Gene Regulatory Network Inference.
Proceedings of the Australasian Computer Science Week Multiconference, 2019
2018
Ethics Inf. Technol., 2018
SoniFight: Software to Provide Additional Sonification Cues to Video Games for Visually Impaired Players.
Comput. Games J., 2018
Correction to: Griefers Versus the Griefed - What Motivates Them to Play Massively Multiplayer Online Role-Playing Games?
Comput. Games J., 2018
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018
Categorical Features Transformation with Compact One-Hot Encoder for Fraud Detection in Distributed Environment.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018
2017
Neurocomputing, 2017
Neurocomputing, 2017
A taxonomy of griefer type by motivation in massively multiplayer online role-playing games.
Behav. Inf. Technol., 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the International Conference on Compute and Data Analysis, 2017
2016
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2015
Patient admission prediction using a pruned fuzzy min-max neural network with rule extraction.
Neural Comput. Appl., 2015
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015
2014
Griefers versus the Griefed - what motivates them to play Massively Multiplayer Online Role-Playing Games?
Comput. Games J., 2014
2013
Ganking, corpse camping and ninja looting from the perception of the MMORPG community: acceptable behavior or unacceptable griefing?
Proceedings of the 9th Australasian Conference on Interactive Entertainment, 2013
2012
J. Assoc. Inf. Sci. Technol., 2012
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2012
An Empirical Comparison of Two Common Multiobjective Reinforcement Learning Algorithms.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012
2011
Mach. Learn., 2011
Reinforcement Learning Approach to AIBO Robot's Decision Making Process in Robosoccer's Goal Keeper Problem.
Proceedings of the 12th ACIS International Conference on Software Engineering, 2011
2010
Automated opinion detection: Implications of the level of agreement between human raters.
Inf. Process. Manag., 2010
Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2010
2009
Incorporating Expert Advice into Reinforcement Learning Using Constructive Neural Networks.
Proceedings of the Constructive Neural Networks, 2009
Weblogs for market research: finding more relevant opinion documents using system fusion.
Online Inf. Rev., 2009
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009
Constructing Stochastic Mixture Policies for Episodic Multiobjective Reinforcement Learning Tasks.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009
Proceedings of the Computer Science 2009, 2009
2008
Proceedings of the Technological Developments in Education and Automation, 2008
MRF Model Based Unsupervised Color Textured Image Segmentation Using Multidimensional Spatially Variant Finite Mixture Model.
Proceedings of the Technological Developments in Education and Automation, 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
2007
Proceedings of the 4th Australasian Conference on Interactive Entertainment, 2007
Unsupervised Color Textured Image Segmentation Using Cluster Ensembles and MRF Model.
Proceedings of the Advances in Computer and Information Sciences and Engineering, 2007
Proceedings of the Data Mining and Analytics 2007, 2007
2006
An efficient approach to unbounded bi-objective archives -: introducing the mak_tree algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006
2005
Int. J. Intell. Syst., 2005
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005
The Combative Accretion Model - Multiobjective Optimisation Without Explicit Pareto Ranking.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2005
Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005
Proceedings of the Seventh Australasian Computing Education Conference (ACE 2005), 2005
2003
A simplified artificial life model for multiobjective optimisation: a preliminary report.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
1995
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995