Kavosh Asadi
15 papers · 2017–2024 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (27) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze
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Grand Slam
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
(64)
Top co-authors
Research topics
Machine Learning
(13)
Reinforcement Learning
(12)
Methods
(12)
Optimization & Theory Β· Machine Learning
(8)
Learning Types Β· Machine Learning
(6)
Artificial Intelligence
(5)
Deep Learning
(5)
Core AI
(4)
Learning Types Β· Deep Learning
(3)
Applications
(2)
Learning Paradigms
(2)
Natural Language Processing
(1)
Core Methods
(1)
Generation
(1)
Optimization & Theory Β· Deep Learning
(1)
Keywords
value function
(6)
reinforcement learning
(5)
deep reinforcement learning
(3)
target network
(3)
softmax operator
(2)
lipschitz continuity
(2)
convergent behavior
(2)
state abstraction
(1)
information bottleneck
(1)
iterative optimization
(1)
transfer learning
(1)
function approximation
(1)
knowledge transfer
(1)
supervised learning
(1)
imitation learning
(1)
temporal difference learning
(1)
markov decision process
(1)
online learning
(1)
continuous control
(1)
function space
(1)
Papers
Learning the Target Network in Function Space
ICML 2024
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
ICLR 2024
Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces
AISTATS 2023
Resetting the Optimizer in Deep RL: An Empirical Study
NeurIPS 2023
TD Convergence: An Optimization Perspective
NeurIPS 2023
Adaptive Interest for Emphatic Reinforcement Learning
NeurIPS 2022
Faster Deep Reinforcement Learning with Slower Online Network
NeurIPS 2022
Continuous Doubly Constrained Batch Reinforcement Learning
NeurIPS 2021
Deep Radial-Basis Value Functions for Continuous Control
AAAI 2021
Lipschitz Lifelong Reinforcement Learning
AAAI 2021
DeepMellow: Removing the Need for a Target Network in Deep Q-Learning
IJCAI 2019
State Abstraction as Compression in Apprenticeship Learning
AAAI 2019
Lipschitz Continuity in Model-based Reinforcement Learning
ICML 2018
An Alternative Softmax Operator for Reinforcement Learning
ICML 2017
Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning
ACL 2017