3 papers
cs.LG2025
Limitations of Scalarisation in MORL: A Comparative Study in Discrete Environments
Muhammad Sa'ood Shah, Asad Jeewa
Scalarisation functions are widely employed in MORL algorithms to enable intelligent decision-making. However, these functions often struggle to approximate the Pareto front accura…
cs.LG2025
A Comparison Between Decision Transformers and Traditional Offline Reinforcement Learning Algorithms
Ali Murtaza Caunhye, Asad Jeewa
The field of Offline Reinforcement Learning (RL) aims to derive effective policies from pre-collected datasets without active environment interaction. While traditional offline RL…
cs.LG2023
Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent Reinforcement Learning
Claude Formanek, Asad Jeewa, Jonathan Shock +1
Being able to harness the power of large datasets for developing cooperative multi-agent controllers promises to unlock enormous value for real-world applications. Many important i…