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2020 – today
- 2024
[c18]Rasool Fakoor, Jonas Mueller, Zachary Chase Lipton, Pratik Chaudhari, Alex Smola:
Time-Varying Propensity Score to Bridge the Gap between the Past and Present. ICLR 2024- [c17]Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor:
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. ICLR 2024 - [c16]Kavosh Asadi, Yao Liu, Shoham Sabach, Ming Yin, Rasool Fakoor:
Learning the Target Network in Function Space. ICML 2024 - [i21]Kavosh Asadi, Yao Liu, Shoham Sabach, Ming Yin, Rasool Fakoor:
Learning the Target Network in Function Space. CoRR abs/2406.01838 (2024) - [i20]Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J. Lim, Yao Liu, Rasool Fakoor:
EXTRACT: Efficient Policy Learning by Extracting Transferrable Robot Skills from Offline Data. CoRR abs/2406.17768 (2024) - 2023
- [j1]Rasool Fakoor, Taesup Kim, Jonas Mueller, Alexander J. Smola, Ryan J. Tibshirani:
Flexible Model Aggregation for Quantile Regression. J. Mach. Learn. Res. 24: 162:1-162:45 (2023) - [c15]Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor:
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges. CoLLAs 2023: 89-119 - [c14]Yao Liu, Pratik Chaudhari, Rasool Fakoor:
Budgeting Counterfactual for Offline RL. NeurIPS 2023 - [c13]Kavosh Asadi, Rasool Fakoor, Shoham Sabach:
Resetting the Optimizer in Deep RL: An Empirical Study. NeurIPS 2023 - [c12]Kavosh Asadi, Shoham Sabach, Yao Liu, Omer Gottesman, Rasool Fakoor:
TD Convergence: An Optimization Perspective. NeurIPS 2023 - [i19]Kavosh Asadi, Shoham Sabach, Yao Liu, Omer Gottesman, Rasool Fakoor:
TD Convergence: An Optimization Perspective. CoRR abs/2306.17750 (2023) - [i18]Kavosh Asadi, Rasool Fakoor, Shoham Sabach:
Resetting the Optimizer in Deep RL: An Empirical Study. CoRR abs/2306.17833 (2023) - [i17]Yao Liu, Pratik Chaudhari, Rasool Fakoor:
Budgeting Counterfactual for Offline RL. CoRR abs/2307.06328 (2023) - [i16]Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor:
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. CoRR abs/2310.05905 (2023) - 2022
- [c11]Kavosh Asadi, Rasool Fakoor, Omer Gottesman, Taesup Kim, Michael L. Littman, Alexander J. Smola:
Faster Deep Reinforcement Learning with Slower Online Network. NeurIPS 2022 - [c10]Martin Klissarov, Rasool Fakoor, Jonas W. Mueller, Kavosh Asadi, Taesup Kim, Alexander J. Smola:
Adaptive Interest for Emphatic Reinforcement Learning. NeurIPS 2022 - [i15]Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor:
Task-Agnostic Continual Reinforcement Learning: In Praise of a Simple Baseline. CoRR abs/2205.14495 (2022) - [i14]Rasool Fakoor, Jonas Mueller, Zachary C. Lipton, Pratik Chaudhari, Alexander J. Smola:
Data drift correction via time-varying importance weight estimator. CoRR abs/2210.01422 (2022) - 2021
- [c9]Rasool Fakoor, Jonas Mueller, Kavosh Asadi, Pratik Chaudhari, Alexander J. Smola:
Continuous Doubly Constrained Batch Reinforcement Learning. NeurIPS 2021: 11260-11273 - [i13]Rasool Fakoor, Jonas Mueller, Pratik Chaudhari, Alexander J. Smola:
Continuous Doubly Constrained Batch Reinforcement Learning. CoRR abs/2102.09225 (2021) - [i12]Taesup Kim, Rasool Fakoor, Jonas Mueller, Alexander J. Smola, Ryan J. Tibshirani:
Deep Quantile Aggregation. CoRR abs/2103.00083 (2021) - [i11]Kavosh Asadi, Rasool Fakoor, Omer Gottesman, Michael L. Littman, Alexander J. Smola:
Deep Q-Network with Proximal Iteration. CoRR abs/2112.05848 (2021) - 2020
- [c8]Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola:
Meta-Q-Learning. ICLR 2020 - [c7]Rasool Fakoor, Jonas Mueller, Nick Erickson, Pratik Chaudhari, Alexander J. Smola:
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation. NeurIPS 2020 - [i10]Rasool Fakoor, Pratik Chaudhari, Jonas Mueller, Alexander J. Smola:
TraDE: Transformers for Density Estimation. CoRR abs/2004.02441 (2020) - [i9]Rasool Fakoor, Jonas Mueller, Nick Erickson, Pratik Chaudhari, Alexander J. Smola:
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation. CoRR abs/2006.14284 (2020) - [i8]Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola:
DDPG++: Striving for Simplicity in Continuous-control Off-Policy Reinforcement Learning. CoRR abs/2006.15199 (2020)
2010 – 2019
- 2019
- [c6]Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola:
P3O: Policy-on Policy-off Policy Optimization. UAI 2019: 1017-1027 - [i7]Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola:
P3O: Policy-on Policy-off Policy Optimization. CoRR abs/1905.01756 (2019) - [i6]Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola:
Meta-Q-Learning. CoRR abs/1910.00125 (2019) - 2018
- [c5]Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar:
Constrained Convolutional-Recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy. ICASSP 2018: 3011-3015 - [c4]Rasool Fakoor, Amanjit Kainth, Siamak Shakeri, Christopher Winestock, Abdel-rahman Mohamed, Ruhi Sarikaya:
Direct Optimization of F-Measure for Retrieval-Based Personal Question Answering. SLT 2018: 815-822 - [i5]Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar:
Constrained Convolutional-Recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy. CoRR abs/1802.05874 (2018) - [i4]Rasool Fakoor, Amanjit Kainth, Siamak Shakeri, Christopher Winestock, Abdel-rahman Mohamed, Ruhi Sarikaya:
Direct optimization of F-measure for retrieval-based personal question answering. CoRR abs/1810.00679 (2018) - [i3]Thomas Powers, Rasool Fakoor, Siamak Shakeri, Abhinav Sethy, Amanjit Kainth, Abdel-rahman Mohamed, Ruhi Sarikaya:
Differentiable Greedy Networks. CoRR abs/1810.12464 (2018) - 2017
- [i2]Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar:
Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality. CoRR abs/1711.10791 (2017) - 2016
- [i1]Rasool Fakoor, Abdel-rahman Mohamed, Margaret Mitchell, Sing Bing Kang, Pushmeet Kohli:
Memory-augmented Attention Modelling for Videos. CoRR abs/1611.02261 (2016) - 2012
- [c3]Rasool Fakoor, Manfred Huber:
A Sampling-Based Approach to Reducing the Complexity of Continuous State Space POMDPs by Decomposition Into Coupled Perceptual and Decision Processes. ICMLA (1) 2012: 687-692 - [c2]Rasool Fakoor, Mayank Raj
, Azade Nazi, Mario Di Francesco, Sajal K. Das:
An integrated cloud-based framework for mobile phone sensing. MCC@SIGCOMM 2012: 47-52 - [c1]Rasool Fakoor, Manfred Huber:
Improving tractability of POMDPs by separation of decision and perceptual processes. SMC 2012: 593-598
Coauthor Index
aka: Jonas W. Mueller
aka: Alex Smola
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last updated on 2024-09-13 01:40 CEST by the dblp team
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