Fakoor, Rasool

23 publications

ICLR 2025 AgentOccam: A Simple yet Strong Baseline for LLM-Based Web Agents Ke Yang, Yao Liu, Sapana Chaudhary, Rasool Fakoor, Pratik Chaudhari, George Karypis, Huzefa Rangwala

TMLR 2025 Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens Zhepeng Cen, Yao Liu, Siliang Zeng, Pratik Chaudhari, Huzefa Rangwala, George Karypis, Rasool Fakoor

ICLRW 2025 Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens Zhepeng Cen, Yao Liu, Siliang Zeng, Pratik Chaudhari, Huzefa Rangwala, George Karypis, Rasool Fakoor

TMLR 2025 Offline Learning and Forgetting for Reasoning with Large Language Models Tianwei Ni, Allen Nie, Sapana Chaudhary, Yao Liu, Huzefa Rangwala, Rasool Fakoor

CoRL 2024 EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J Lim, Yao Liu, Rasool Fakoor

ICML 2024 Learning the Target Network in Function Space Kavosh Asadi, Yao Liu, Shoham Sabach, Ming Yin, Rasool Fakoor

ICLR 2024 TAIL: Task-Specific Adapters for Imitation Learning with Large Pretrained Models Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor

ICLR 2024 Time-Varying Propensity Score to Bridge the Gap Between the past and Present Rasool Fakoor, Jonas Mueller, Zachary Chase Lipton, Pratik Chaudhari, Alex Smola

NeurIPS 2023 Budgeting Counterfactual for Offline RL Yao Liu, Pratik Chaudhari, Rasool Fakoor

JMLR 2023 Flexible Model Aggregation for Quantile Regression Rasool Fakoor, Taesup Kim, Jonas Mueller, Alexander J. Smola, Ryan J. Tibshirani

NeurIPS 2023 Resetting the Optimizer in Deep RL: An Empirical Study Kavosh Asadi, Rasool Fakoor, Shoham Sabach

NeurIPSW 2023 TAIL: Task-Specific Adapters for Imitation Learning with Large Pretrained Models Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor

NeurIPS 2023 TD Convergence: An Optimization Perspective Kavosh Asadi, Shoham Sabach, Yao Liu, Omer Gottesman, Rasool Fakoor

CoLLAs 2023 Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor

ICLRW 2023 Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor

NeurIPS 2022 Adaptive Interest for Emphatic Reinforcement Learning Martin Klissarov, Rasool Fakoor, Jonas W Mueller, Kavosh Asadi, Taesup Kim, Alexander J Smola

ICMLW 2022 Adaptive Interest for Emphatic Reinforcement Learning Martin Klissarov, Rasool Fakoor, Jonas Mueller, Kavosh Asadi, Taesup Kim, Alex Smola

NeurIPS 2022 Faster Deep Reinforcement Learning with Slower Online Network Kavosh Asadi, Rasool Fakoor, Omer Gottesman, Taesup Kim, Michael L. Littman, Alexander J Smola

NeurIPS 2021 Continuous Doubly Constrained Batch Reinforcement Learning Rasool Fakoor, Jonas W Mueller, Kavosh Asadi, Pratik Chaudhari, Alexander J Smola

NeurIPS 2020 Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation Rasool Fakoor, Jonas W Mueller, Nick Erickson, Pratik Chaudhari, Alexander J Smola

ICLR 2020 Meta-Q-Learning Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola

UAI 2019 P3O: Policy-on Policy-Off Policy Optimization Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola

ICMLW 2019 P3O: Policy-on Policy-Off Policy Optimization Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola