An Option and Agent Selection Policy with Logarithmic Regret for Multi Agent Multi Armed Bandit Problems on Random Graphs. - Pathmanathan Pankayaraj; D. H. S. Maithripala (CoRR, 2019)

A Decentralized Policy with Logarithmic Regret for a Class of Multi-Agent Multi-Armed Bandit Problems with Option Unavailability Constraints and Stochastic Communication Protocols. - Pathmanathan Pankayaraj; D. H. S. Maithripala; Jordan M. Berg (CDC, 2020)

A Decentralized Communication Policy for Multi Agent Multi Armed Bandit Problems. - Pathmanathan Pankayaraj; D. H. S. Maithripala (ECC, 2020)

Constrained Reinforcement Learning in Hard Exploration Problems. - Pathmanathan Pankayaraj; Pradeep Varakantham (AAAI, 2023)

Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning. - Pathmanathan Pankayaraj; Natalia Díaz Rodríguez; Javier Del Ser (Cogn. Comput., 2024)