Paria Rashidinejad

According to our database, Paria Rashidinejad authored at least 10 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Solve the Loop: Attractor Models for Language and Reasoning.

Jacob Fein-Ashley, Paria Rashidinejad

CoRR, May, 2026

CrispEdit: Low-Curvature Projections for Scalable Non-Destructive LLM Editing.

Zarif Ikram, Arad Firouzkouhi, Stephen Tu, Mahdi Soltanolkotabi, Paria Rashidinejad

CoRR, February, 2026

Reuse your FLOPs: Scaling RL on Hard Problems by Conditioning on Very Off-Policy Prefixes.

Amrith Setlur, Zijian Wang, Andrew Cohen, Paria Rashidinejad, Sang Michael Xie

CoRR, January, 2026

2025

SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models.

Chenyu Wang, Paria Rashidinejad, DiJia Su, Song Jiang, Sid Wang, Siyan Zhao, Cai Zhou, Shannon Zejiang Shen, Feiyu Chen, Tommi S. Jaakkola, Yuandong Tian, Bo Liu

CoRR, October, 2025

Sail into the Headwind: Alignment via Robust Rewards and Dynamic Labels against Reward Hacking.

Paria Rashidinejad, Yuandong Tian

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023

Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning.

Hanlin Zhu, Paria Rashidinejad, Jiantao Jiao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian.

Paria Rashidinejad, Hanlin Zhu, Kunhe Yang, Stuart Russell, Jiantao Jiao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

MADE: Exploration via Maximizing Deviation from Explored Regions.

Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph E. Gonzalez, Stuart Russell

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism.

Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

SLIP: Learning to predict in unknown dynamical systems with long-term memory.

Paria Rashidinejad, Jiantao Jiao, Stuart Russell

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020