Rasool Fakoor

According to our database, Rasool Fakoor authored at least 30 papers between 2012 and 2024.

Collaborative distances:

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

2024

EXTRACT: Efficient Policy Learning by Extracting Transferrable Robot Skills from Offline Data.

Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J. Lim, Yao Liu, Rasool Fakoor

CoRR, 2024

Learning the Target Network in Function Space.

Kavosh Asadi, Yao Liu, Shoham Sabach, Ming Yin, Rasool Fakoor

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Flexible Model Aggregation for Quantile Regression.

Rasool Fakoor, Taesup Kim, Jonas Mueller, Alexander J. Smola, Ryan J. Tibshirani

J. Mach. Learn. Res., 2023

TD Convergence: An Optimization Perspective.

Kavosh Asadi, Shoham Sabach, Yao Liu, Omer Gottesman, Rasool Fakoor

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

Resetting the Optimizer in Deep RL: An Empirical Study.

Kavosh Asadi, Rasool Fakoor, Shoham Sabach

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

Budgeting Counterfactual for Offline RL.

Yao Liu, Pratik Chaudhari, Rasool Fakoor

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

Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges.

Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Data drift correction via time-varying importance weight estimator.

Rasool Fakoor, Jonas Mueller, Zachary C. Lipton, Pratik Chaudhari, Alexander J. Smola

CoRR, 2022

Task-Agnostic Continual Reinforcement Learning: In Praise of a Simple Baseline.

Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor

CoRR, 2022

Adaptive Interest for Emphatic Reinforcement Learning.

Martin Klissarov, Rasool Fakoor, Jonas W. Mueller, Kavosh Asadi, Taesup Kim, Alexander J. Smola

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Faster Deep Reinforcement Learning with Slower Online Network.

Kavosh Asadi, Rasool Fakoor, Omer Gottesman, Taesup Kim, Michael L. Littman, Alexander J. Smola

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Deep Q-Network with Proximal Iteration.

Kavosh Asadi, Rasool Fakoor, Omer Gottesman, Michael L. Littman, Alexander J. Smola

CoRR, 2021

Deep Quantile Aggregation.

Taesup Kim, Rasool Fakoor, Jonas Mueller, Alexander J. Smola, Ryan J. Tibshirani

CoRR, 2021

Continuous Doubly Constrained Batch Reinforcement Learning.

Rasool Fakoor, Jonas Mueller, Pratik Chaudhari, Alexander J. Smola

CoRR, 2021

Continuous Doubly Constrained Batch Reinforcement Learning.

Rasool Fakoor, Jonas Mueller, Kavosh Asadi, Pratik Chaudhari, Alexander J. Smola

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

2020

DDPG++: Striving for Simplicity in Continuous-control Off-Policy Reinforcement Learning.

Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola

CoRR, 2020

TraDE: Transformers for Density Estimation.

Rasool Fakoor, Pratik Chaudhari, Jonas Mueller, Alexander J. Smola

CoRR, 2020

Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation.

Rasool Fakoor, Jonas Mueller, Nick Erickson, Pratik Chaudhari, Alexander J. Smola

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

Meta-Q-Learning.

Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

P3O: Policy-on Policy-off Policy Optimization.

Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018

Differentiable Greedy Networks.

Thomas Powers, Rasool Fakoor, Siamak Shakeri, Abhinav Sethy, Amanjit Kainth, Abdel-rahman Mohamed, Ruhi Sarikaya

CoRR, 2018

Direct Optimization of F-Measure for Retrieval-Based Personal Question Answering.

Rasool Fakoor, Amanjit Kainth, Siamak Shakeri, Christopher Winestock, Abdel-rahman Mohamed, Ruhi Sarikaya

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Constrained Convolutional-Recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy.

Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality.

Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar

CoRR, 2017

2016

Memory-augmented Attention Modelling for Videos.

Rasool Fakoor, Abdel-rahman Mohamed, Margaret Mitchell, Sing Bing Kang, Pushmeet Kohli

CoRR, 2016

2012

Improving tractability of POMDPs by separation of decision and perceptual processes.

Rasool Fakoor, Manfred Huber

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

An integrated cloud-based framework for mobile phone sensing.

Rasool Fakoor, Mayank Raj, Azade Nazi, Mario Di Francesco, Sajal K. Das

Proceedings of the first edition of the MCC workshop on Mobile cloud computing, 2012

A Sampling-Based Approach to Reducing the Complexity of Continuous State Space POMDPs by Decomposition Into Coupled Perceptual and Decision Processes.

Rasool Fakoor, Manfred Huber

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012