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Kavosh Asadi — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Kavosh Asadi
17
papers ·
491
citations ·
1
h-index
Google Scholar ↗
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Most-cited papers
Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning
2017 · 341 citations
Lipschitz Continuity in Model-based Reinforcement Learning
2018 · 37 citations
Combating the Compounding-Error Problem with a Multi-step Model
2019 · 27 citations
An Alternative Softmax Operator for Reinforcement Learning
2016 · 26 citations
Mean Actor Critic
2017 · 16 citations
Sample-efficient Deep Reinforcement Learning for Dialog Control
2016 · 10 citations
Equivalence Between Wasserstein and Value-Aware Loss for Model-based Reinforcement Learning
2018 · 9 citations
Towards a Simple Approach to Multi-step Model-based Reinforcement Learning
2018 · 6 citations
Continuous Doubly Constrained Batch Reinforcement Learning
2021 · 6 citations
Deep Radial-Basis Value Functions for Continuous Control
2020 · 5 citations
Resetting the Optimizer in Deep RL: An Empirical Study
2023 · 3 citations
Mitigating Planner Overfitting in Model-Based Reinforcement Learning
2018 · 2 citations
Faster Deep Reinforcement Learning with Slower Online Network
2021 · 1 citations
Characterizing the Action-Generalization Gap in Deep Q-Learning
2022 · 1 citations
Convergence of a Human-in-the-Loop Policy-Gradient Algorithm With Eligibility Trace Under Reward, Policy, and Advantage Feedback
2021
Top co-authors
Michael L. Littman
· 8
Dipendra Misra
· 4
Rasool Fakoor
· 4
Alexander J. Smola
· 2
Cameron Allen
· 2
Evan Cater
· 2
George Konidaris
· 2
Jason D. Williams
· 2
Shoham Sabach
· 2
Abdel-rahman Mohamed
· 1
Christopher Grimm
· 1
David Abel
· 1
Topics
Value-Based
Model-Based RL
Policy Gradient
Game AI
Exploration
Offline RL
RLHF & Alignment
Multi-Agent
Safe RL