Chayan Banerjee

23 papers Misc 1Journal 21Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CWM: Contrastive World Models for Action Feasibility Learning in Embodied Agent Pipelines. CoRR Chayan Banerjee
2026	J	`jnl`	Enhancing Exploration in Actor-Critic Algorithms: An Approach to Incentivize Plausible Novel States. IEEE Trans. Cybern. Chayan Banerjee, Zhiyong Chen, Nasimul Noman
2026	J	`jnl`	Physics-Informed Neuro-Symbolic Recommender System: A Dual-Physics Approach for Personalized Nutrition. CoRR Chayan Banerjee
2026	J	`jnl`	Physics-informed Machine Learning for Medical Image Analysis. ACM Comput. Surv. Chayan Banerjee, Kien Nguyen, Olivier Salvado, Truyen Tran, Clinton Fookes
2026	J	`jnl`	Sustainable Multi-Agent Crowdsourcing via Physics-Informed Bandits. CoRR Chayan Banerjee
2025	J	`jnl`	A survey on physics informed reinforcement learning: Review and open problems. Expert Syst. Appl. Chayan Banerjee, Kien Nguyen Thanh, Clinton Fookes, Maziar Raissi
2025	J	`jnl`	Loid: lane occlusion inpainting and detection for enhanced autonomous driving systems. Mach. Vis. Appl. Aayush Agrawal, Ashmitha Jaysi Sivakumar, Ibrahim Kaif, Chayan Banerjee
2025	J	`jnl`	Mining-Gym: A Configurable RL Benchmarking Environment for Truck Dispatch Scheduling. CoRR Chayan Banerjee, Kien Nguyen, Clinton Fookes
2025	J	`jnl`	Physics-Informed Computer Vision: A Review and Perspectives. ACM Comput. Surv. Chayan Banerjee, Kien Nguyen, Clinton Fookes, George E. Karniadakis
2025	Misc	`conf`	Physics-Informed Operator Learning for Hemodynamic Modeling. DICTA Ryan Chappell, Chayan Banerjee, Kien Nguyen, Clinton Fookes
2025	J	`jnl`	Physics-Informed Operator Learning for Hemodynamic Modeling. CoRR Ryan Chappell, Chayan Banerjee, Kien Nguyen Thanh, Clinton Fookes
2025	J	`jnl`	Reinforcement Learning Based Traffic Signal Design to Minimize Queue Lengths. CoRR Anirud Nandakumar, Chayan Banerjee, Lelitha Devi Vanajakshi
2025	J	`jnl`	Zero-Shot LLMs in Human-in-the-Loop RL: Replacing Human Feedback for Reward Shaping. CoRR Mohammad Saif Nazir, Chayan Banerjee
2024	J	`jnl`	Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples With On-Policy Experiences. IEEE Trans. Neural Networks Learn. Syst. Chayan Banerjee, Zhiyong Chen, Nasimul Noman
2024	J	`jnl`	LOID: Lane Occlusion Inpainting and Detection for Enhanced Autonomous Driving Systems. CoRR Aayush Agrawal, Ashmitha Jaysi Sivakumar, Ibrahim Kaif, Chayan Banerjee
2024	J	`jnl`	PINNs for Medical Image Analysis: A Survey. CoRR Chayan Banerjee, Kien Nguyen Thanh, Olivier Salvado, Truyen Tran, Clinton Fookes
2023	J	`jnl`	A Survey on Physics Informed Reinforcement Learning: Review and Open Problems. CoRR Chayan Banerjee, Kien Nguyen, Clinton Fookes, Maziar Raissi
2023	—	`conf`	Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States. CDC Chayan Banerjee, Zhiyong Chen, Nasimul Noman
2023	J	`jnl`	Physics-Informed Computer Vision: A Review and Perspectives. CoRR Chayan Banerjee, Kien Nguyen, Clinton Fookes, George Em Karniadakis
2022	J	`jnl`	Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States. CoRR Chayan Banerjee, Zhiyong Chen, Nasimul Noman
2022	J	`jnl`	Optimal Actor-Critic Policy With Optimized Training Datasets. IEEE Trans. Emerg. Top. Comput. Intell. Chayan Banerjee, Zhiyong Chen, Nasimul Noman, Mohsen Zamani
2021	J	`jnl`	Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience. CoRR Chayan Banerjee, Zhiyong Chen, Nasimul Noman
2021	J	`jnl`	Optimal Actor-Critic Policy with Optimized Training Datasets. CoRR Chayan Banerjee, Zhiyong Chen, Nasimul Noman, Mohsen Zamani