Publications

Baihe Huang, Paria Rashidinejad, Hanlin Zhu, Jiantao Jiao (2023). Efficient Online and Offline Reinforcement Learning via Offline Regression Oracles. Preprint.

Hanlin Zhu, Paria Rashidinejad, Jiantao Jiao (2023). Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning. Preprint.

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Paria Rashidinejad, Hanlin Zhu, Kunhe Yang, Stuart Russell, Jiantao Jiao (2022). Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian. In International Conference on Learning Representations (ICLR) 2023 (Spotlight, top 8%).

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Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph Gonzalez, Stuart Russell (2021). MADE: Exploration via Maximizing Deviation from Explored Regions. In Advances in Neural Information Processing Systems (NeurIPS) 2021.

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Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell (2021). Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism. In Advances in Neural Information Processing Systems (NeurIPS) 2021 and IEEE Transactions in Information Theory 2022..

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Paria Rashidinejad, Jiantao Jiao, Stuart Russell (2020). SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory. In Advances in Neural Information Processing Systems (NeurIPS) 2020 (Oral, top 1%).

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Paria Rashidinejad, Navaneeth Jamadagni, Arun Raghavan, Craig Schelp, Charles Gordon (2020). Techniques for Accurately Estimating the Reliability of Storage Systems. U.S. Patent No. 11,416,324..

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Paria Rashidinejad, Xiao Hu, Stuart Russell (2020). Patient-Adaptable Intracranial Pressure Morphology Analysis Using a Probabilistic Model-Based Approach. In Physiological Measurement.

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