Publications

• Trevor Bonjour, Vaneet Aggarwal and Bharat Bhargava. DABLER: Deep adaptive broad learning agent with environment recognition. (preprint), 2024.
• Shafkat Islam, Min-Hsueh Chiu, Trevor Bonjour, Ruy De Oliveira, Bharat Bhargava, and Mayank Kejriwal. A q-learning novelty search strategy for evaluating robustness of deep reinforcement learning in open-world environments. (Under Review), 2024.
• Trevor Bonjour, Vaneet Aggarwal, and Bharat Bhargava. Information theoretic approach to detect collusion in multi-agent games. In Uncertainty in Artificial Intelligence, pages 223–232. PMLR, 2022.
• Trevor Bonjour, Marina Haliem, Vaneet Aggarwal, Mayank Kejriwal, and Bharat Bhargava. Multi-agent Game Domain: Monopoly, pages 97–105. Springer Nature Switzerland, Cham, 2024.
• Trevor Bonjour, Marina Haliem, Aala Alsalem, Shilpa Thomas, Hongyu Li, Vaneet Aggarwal, Mayank Kejriwal, and Bharat Bhargava. Decision making in monopoly using a hybrid deep reinforcement learning approach. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(6):1335–1344, 2022.