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Kavosh Asadi · SciRah

Researcher profile · Semantic Scholar

Kavosh Asadi

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Kavosh Asadi — researcher profile on SciRah

h-index: 15
Works: 49
Citations: 1,456

Most-cited papers

Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning
J. Williams, Kavosh Asadi, G. Zweig
2017Annual Meeting of the Association for Computational Linguistics342 citations Open access
Semantic Scholar
An Alternative Softmax Operator for Reinforcement Learning
Kavosh Asadi, Michael L. Littman
2016International Conference on Machine Learning247 citations
Semantic Scholar
Lipschitz Continuity in Model-based Reinforcement Learning
Kavosh Asadi, Dipendra Kumar Misra, Michael L. Littman
2018International Conference on Machine Learning209 citations
Semantic Scholar
Combating the Compounding-Error Problem with a Multi-step Model
Kavosh Asadi, Dipendra Kumar Misra, Seungchan Kim, Michael L. Littman
2019arXiv.org78 citations
Semantic Scholar
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu +3 more
2023International Conference on Learning Representations67 citations Open access
Semantic Scholar
DeepMellow: Removing the Need for a Target Network in Deep Q-Learning
Seungchan Kim, Kavosh Asadi, Michael L. Littman, G. Konidaris
2019International Joint Conference on Artificial Intelligence67 citations Open access
Semantic Scholar
State Abstraction as Compression in Apprenticeship Learning
David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai +2 more
2019AAAI Conference on Artificial Intelligence66 citations Open access
Semantic Scholar
Mean Actor Critic
Kavosh Asadi, Cameron S. Allen, Melrose Roderick, Abdel-rahman Mohamed +2 more
2017arXiv.org46 citations
Semantic Scholar
Lipschitz Lifelong Reinforcement Learning
Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai +2 more
2020AAAI Conference on Artificial Intelligence43 citations Open access
Semantic Scholar
Resetting the Optimizer in Deep RL: An Empirical Study
Kavosh Asadi, Rasool Fakoor, Shoham Sabach
2023Neural Information Processing Systems38 citations Open access
Semantic Scholar
Continuous Doubly Constrained Batch Reinforcement Learning
Rasool Fakoor, Jonas W. Mueller, Kavosh Asadi, P. Chaudhari +1 more
2021Neural Information Processing Systems38 citations
Semantic Scholar
Deep Radial-Basis Value Functions for Continuous Control
Kavosh Asadi, Neev Parikh, Ronald E. Parr, G. Konidaris +1 more
2021AAAI Conference on Artificial Intelligence26 citations Open access
Semantic Scholar
Sample-efficient Deep Reinforcement Learning for Dialog Control
Kavosh Asadi, J. Williams
2016arXiv.org21 citations
Semantic Scholar
TD Convergence: An Optimization Perspective
Kavosh Asadi, Shoham Sabach, Yao Liu, Omer Gottesman +1 more
2023Neural Information Processing Systems18 citations Open access
Semantic Scholar
Towards a Simple Approach to Multi-step Model-based Reinforcement Learning
Kavosh Asadi, Evan Cater, Dipendra Kumar Misra, Michael L. Littman
2018arXiv.org17 citations
Semantic Scholar
Mitigating Planner Overfitting in Model-Based Reinforcement Learning
Dilip Arumugam, David Abel, Kavosh Asadi, N. Gopalan +4 more
2018arXiv.org12 citations
Semantic Scholar
Generative Reasoning Re-ranker
Ming-Fu Liang, Yu-Fei Li, Jay Xu, Kavosh Asadi +19 more
2026arXiv.org11 citations
Semantic Scholar
Equivalence Between Wasserstein and Value-Aware Model-based Reinforcement Learning
Kavosh Asadi, Evan Cater, Dipendra Kumar Misra, Michael L. Littman
2018arXiv.org11 citations
Semantic Scholar
A New Softmax Operator for Reinforcement Learning
Kavosh Asadi, Michael L. Littman
2016arXiv.org10 citations
Semantic Scholar
On Welfare-Centric Fair Reinforcement Learning
Cyrus Cousins, Kavosh Asadi, Elita Lobo, Michael Littman
2024RLJ9 citations
Semantic Scholar
Strengths, Weaknesses, and Combinations of Model-based and Model-free Reinforcement Learning
Kavosh Asadi
20159 citations
Semantic Scholar
Off-Context GRPO: Learning to Reason on Hard Problems using Privileged Information
Priyank Agrawal, Ankur Samanta, S. Ghasemlou, Boris Vidolov +4 more
2026arXiv.org8 citations
Semantic Scholar
Learning State Abstractions for Transfer in Continuous Control
Kavosh Asadi, David Abel, Michael L. Littman
2020arXiv.org8 citations
Semantic Scholar
Credit Assignment with Resets in Language Model Reasoning
Ankur Samanta, Akshayaa Magesh, Ayush Jain, Youliang Yu +6 more
2026arXiv.org7 citations
Semantic Scholar
Faster Deep Reinforcement Learning with Slower Online Network
Kavosh Asadi, Rasool Fakoor, Omer Gottesman, Taesup Kim +2 more
2021Neural Information Processing Systems7 citations Open access
Semantic Scholar
Structure Enables Effective Self-Localization of Errors in LLMs
Ankur Samanta, Akshayaa Magesh, Ayush Jain, Kavosh Asadi +7 more
2026arXiv.org6 citations
Semantic Scholar
Recursive Self-Improvement via On-Policy Distillation for Reasoning
Shang-Jian Yin, Ze-Hao Zhao, Kavosh Asadi, Rui Liu +6 more
20266 citations
Semantic Scholar
Removing the Target Network from Deep Q-Networks with the Mellowmax Operator
Seungchan Kim, Kavosh Asadi, Michael L. Littman, G. Konidaris
2019Adaptive Agents and Multi-Agent Systems6 citations
Semantic Scholar
InstructVTON: Optimal Auto-Masking and Natural-Language-Guided Interactive Style Control for Inpainting-Based Virtual Try-On
Julien Han, Shuwen Qiu, Qi Li, Xingzi Xu +3 more
2025arXiv.org5 citations
Semantic Scholar
Learning to Reason Efficiently with Discounted Reinforcement Learning
Alex Ayoub, Kavosh Asadi, Dale Schuurmans, Csaba Szepesvári +1 more
2025arXiv.org4 citations
Semantic Scholar
Learning the Target Network in Function Space
Kavosh Asadi, Yao Liu, Shoham Sabach, Ming Yin +1 more
2024International Conference on Machine Learning4 citations
Semantic Scholar
Coarse-Grained Smoothness for RL in Metric Spaces
Omer Gottesman, Kavosh Asadi, Cameron S. Allen, Sam Lobel +2 more
2021arXiv.org4 citations
Semantic Scholar
Deep RBF Value Functions for Continuous Control
Kavosh Asadi, Ronald E. Parr, G. Konidaris, Michael L. Littman
2020arXiv.org4 citations
Semantic Scholar
Characterizing the Action-Generalization Gap in Deep Q-Learning
Zhi-Yuan Zhou, Cameron S. Allen, Kavosh Asadi, G. Konidaris
2022arXiv.org3 citations Open access
Semantic Scholar
Adaptive Interest for Emphatic Reinforcement Learning
Martin Klissarov, Rasool Fakoor, Jonas W. Mueller, Kavosh Asadi +2 more
2022Neural Information Processing Systems3 citations
Semantic Scholar
C2-DPO: Constrained Controlled Direct Preference Optimization
Kavosh Asadi, Julien Han, Idan Pipano, Xingzi Xu +4 more
20252 citations
Semantic Scholar
Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces
Omer Gottesman, Kavosh Asadi, Cameron S. Allen, Samuel Lobel +2 more
2023International Conference on Artificial Intelligence and Statistics2 citations
Semantic Scholar
GR2 Technical Report
Yu-Fei Li, Zai-Wei Zhang, Ming-Fu Liang, Kavosh Asadi +65 more
2026arXiv.org1 citations
Semantic Scholar
The Case Against Generation for Retrieval: Discriminative Language Models as Effective Retrievers
Zhe Xu, Prachi Agrawal, Kavosh Asadi, Tianyi Chen +16 more
2026arXiv.org1 citations
Semantic Scholar
Adjoint sharding for very long context training of state space models
Xingzi Xu, Amir Tavanaei, Kavosh Asadi, Karim Bouyarmane
2025arXiv.org1 citations
Semantic Scholar
Activation sharding for scalable training of large models
Xingzi Xu, Amir Tavanaei, Kavosh Asadi, Karim Bouyarmane
2025Trans. Mach. Learn. Res.1 citations
Semantic Scholar
Proximal Iteration for Deep Reinforcement Learning
Kavosh Asadi, Rasool Fakoor, Omer Gottesman, Taesup Kim +2 more
20221 citations
Semantic Scholar
Deep Q-Network with Proximal Iteration
Kavosh Asadi, Rasool Fakoor, Omer Gottesman, Michael L. Littman +1 more
2021arXiv.org1 citations
Semantic Scholar
L G ] 1 J un 2 01 8 Equivalence Between Wasserstein and Value-Aware Model-based Reinforcement Learning
Kavosh Asadi, Evan Cater, Dipendra Kumar Misra, Michael L. Littman
20181 citations
Semantic Scholar
Exploring the Design Space of Permutation Diffusion LLMs
Zhe Xu, Ming-Fu Liang, Kavosh Asadi, J. Billaud +15 more
20260 citations
Semantic Scholar
$$\texttt{C2-DPO}$$: Constrained Controlled Direct Preference Optimization
Kavosh Asadi, Xingzi Xu, Julien Han, Ege Beyazit +5 more
2026Trans. Mach. Learn. Res.0 citations
Semantic Scholar
Displacement-Resistant Extensions of DPO with Nonconvex f-Divergences
Idan Pipano, Shoham Sabach, Kavosh Asadi, Mohammad Ghavamzadeh
2026arXiv.org0 citations
Semantic Scholar
Smoothness in Reinforcement Learning with Large State and Action Spaces
Kavosh Asadi
20210 citations
Semantic Scholar
Convergence of a Human-in-the-Loop Policy-Gradient Algorithm With Eligibility Trace Under Reward, Policy, and Advantage Feedback
Ishaan N. Shah, D. Halpern, Kavosh Asadi, Michael L. Littman
2021arXiv.org0 citations
Semantic Scholar

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