Heuristics for Interpretable Knowledge Graph Contextualization. - Kshitij P. Fadnis; Kartik Talamadupula; Pavan Kapanipathi; Haque Ishfaq; Salim Roukos; Achille Fokoue (CoRR, 2019)

Randomized Exploration in Reinforcement Learning with General Value Function Approximation. - Haque Ishfaq; Qiwen Cui; Viet Nguyen; Alex Ayoub; Zhuoran Yang; Zhaoran Wang 001; Doina Precup; Lin Yang 011 (ICML, 2021)

Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo. - Haque Ishfaq; Qingfeng Lan; Pan Xu 002; A. Rupam Mahmood; Doina Precup; Anima Anandkumar; Kamyar Azizzadenesheli (ICLR, 2024)

Offline Multitask Representation Learning for Reinforcement Learning. - Haque Ishfaq; Thanh Nguyen-Tang; Songtao Feng; Raman Arora; Mengdi Wang; Ming Yin 003; Doina Precup (NeurIPS, 2024)

More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling. - Haque Ishfaq; Yixin Tan; Yu Yang 001; Qingfeng Lan; Jianfeng Lu; A. Rupam Mahmood; Doina Precup; Pan Xu 002 (RLJ, 2024)

Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning. - Haque Ishfaq; Guangyuan Wang; Sami Nur Islam; Doina Precup (ICLR, 2025)