Cover Image

Optimising Call Centre Operations using Reinforcement Learning: Value Iteration versus Proximal Policy Optimisation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Kwong Ho, Karunarathne, Wathsala
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Self-Supervised On-Policy Reinforcement Learning via Contrastive Proximal Policy Optimisation
by: Osman, Asim, et al.
Published: (2026)

Holder Policy Optimisation
by: Chen, Yuxiang, et al.
Published: (2026)

Multi-Objective Deep Reinforcement Learning for Optimisation in Autonomous Systems
by: Rosero, Juan C., et al.
Published: (2024)

Mirror Learning: A Unifying Framework of Policy Optimisation
by: Kuba, Jakub Grudzien, et al.
Published: (2022)

QuantFPFlow: Quantum Amplitude Estimation for Fokker--Planck Policy Optimisation in Continuous Reinforcement Learning
by: Weinberg, Abraham Itzhak
Published: (2026)

Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement Learning
by: Yu, Xuehui, et al.
Published: (2024)

Reinforcement Learning for Multi-Objective Multi-Echelon Supply Chain Optimisation
by: Rachman, Rifny, et al.
Published: (2025)

SPO: Sequential Monte Carlo Policy Optimisation
by: Macfarlane, Matthew V, et al.
Published: (2024)

Policy to Assist Iteratively Local Segmentation: Optimising Modality and Location Selection for Prostate Cancer Localisation
by: Wu, Xiangcen, et al.
Published: (2025)

Optimisation in Neurosymbolic Learning Systems
by: van Krieken, Emile
Published: (2024)

Preference Guided Iterated Pareto Referent Optimisation for Accessible Route Planning
by: Speziali, Paolo, et al.
Published: (2026)

SmartFlow Reinforcement Learning and Agentic AI for Bike-Sharing Optimisation
by: K, Aditya Sreevatsa, et al.
Published: (2025)

Prompt Segmentation and Annotation Optimisation: Controlling LLM Behaviour via Optimised Segment-Level Annotations
by: Prasad, Devika, et al.
Published: (2026)

Learning to Optimise Climate Sensor Placement using a Transformer
by: Wang, Chen, et al.
Published: (2023)

Combining Local Symmetry Exploitation and Reinforcement Learning for Optimised Probabilistic Inference -- A Work In Progress
by: Hamid, Sagad, et al.
Published: (2025)

Multi-Agent Trust Region Policy Optimisation: A Joint Constraint Approach
by: Shek, Chak Lam, et al.
Published: (2025)

Multi-Turn Reinforcement Learning for Tool-Calling Agents with Iterative Reward Calibration
by: Modecrua, Wachiravit, et al.
Published: (2026)

Scalable Knowledge Refactoring using Constrained Optimisation
by: Liu, Minghao, et al.
Published: (2024)

Return Capping: Sample-Efficient CVaR Policy Gradient Optimisation
by: Mead, Harry, et al.
Published: (2025)

Argumentation for Explainable Workforce Optimisation (with Appendix)
by: Leigh, Jennifer, et al.
Published: (2025)

Optimisation Is Not What You Need
by: Ibias, Alfredo
Published: (2025)

Optimising Random Forest Machine Learning Algorithms for User VR Experience Prediction Based on Iterative Local Search-Sparrow Search Algorithm
by: Tang, Xirui, et al.
Published: (2024)

Certified Policy Optimisation for Nested Causal Bandits via PAC-Bayes Risk
by: Woydt, Tim, et al.
Published: (2026)

Optimisation of Aircraft Maintenance Schedules
by: Urquhart, Neil, et al.
Published: (2025)

Unsupervised Optimisation of GNNs for Node Clustering
by: Leeney, William, et al.
Published: (2024)

Ensemble Distributionally Robust Bayesian Optimisation
by: Ramazyan, Tigran, et al.
Published: (2026)

Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning
by: Batra, Sumeet, et al.
Published: (2023)

Decision-Focused Learning Enhanced by Automated Feature Engineering for Energy Storage Optimisation
by: Alkhulaifi, Nasser, et al.
Published: (2025)

Optimising the attribute order in Fuzzy Rough Rule Induction
by: Bollaert, Henri, et al.
Published: (2025)

EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural Networks
by: Aung, Htoo Wai, et al.
Published: (2024)

RLoop: An Self-Improving Framework for Reinforcement Learning with Iterative Policy Initialization
by: Zhiyuan, Zeng, et al.
Published: (2025)

Combining Automated Optimisation of Hyperparameters and Reward Shape
by: Dierkes, Julian, et al.
Published: (2024)

Hyperparameter Optimisation with Practical Interpretability and Explanation Methods in Probabilistic Curriculum Learning
by: Salt, Llewyn, et al.
Published: (2025)

Search-based Optimisation of LLM Learning Shots for Story Point Estimation
by: Tawosi, Vali, et al.
Published: (2024)

Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization
by: Küçükoğlu, Burcu, et al.
Published: (2022)

Strategic timing of arrivals to a queueing system with scheduled customers
by: Karunarathne, Wathsala, et al.
Published: (2025)

Towards Provably Unlearnable Examples via Bayes Error Optimisation
by: Zhang, Ruihan, et al.
Published: (2025)

Context-Aware Agentic Power Resources Optimisation in EV using Smart2ChargeApp
by: Sharif, Muddsair, et al.
Published: (2025)

Generalisable Agents for Neural Network Optimisation
by: Tessera, Kale-ab, et al.
Published: (2023)

Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning
by: Bai, Chenjia, et al.
Published: (2024)