SLIP: Learning to predict in unknown dynamical systems with long-term memory. - Paria Rashidinejad; Jiantao Jiao; Stuart Russell 001 (NeurIPS, 2020)

MADE: Exploration via Maximizing Deviation from Explored Regions. - Tianjun Zhang; Paria Rashidinejad; Jiantao Jiao; Yuandong Tian; Joseph E. Gonzalez; Stuart Russell 001 (NeurIPS, 2021)

Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism. - Paria Rashidinejad; Banghua Zhu; Cong Ma 001; Jiantao Jiao; Stuart Russell 001 (IEEE Trans. Inf. Theory, 2022)

Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian. - Paria Rashidinejad; Hanlin Zhu; Kunhe Yang; Stuart Russell 001; Jiantao Jiao (ICLR, 2023)

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

Sail into the Headwind: Alignment via Robust Rewards and Dynamic Labels against Reward Hacking. - Paria Rashidinejad; Yuandong Tian (ICLR, 2025)