Khimya Khetarpal
15 papers · 2019–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (29) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(10)
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Grand Slam
π§¬
Topic Evolution
β
The Questioner
π
Conference Pioneer
ποΈ
Keyword Collector
(73)
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Century Club Β· Bronze
Top co-authors
Research topics
Reinforcement Learning
(15)
Methods
(12)
Artificial Intelligence
(11)
Machine Learning
(11)
Core AI
(11)
Learning Types Β· Machine Learning
(9)
Applications
(5)
Deep Learning
(4)
Learning Types Β· Deep Learning
(4)
Optimization & Theory
(4)
Learning Paradigms
(2)
Computer Vision
(1)
Robotics
(1)
Application Areas
(1)
Capabilities
(1)
Keywords
reinforcement learning
(6)
markov decision process
(5)
deep reinforcement learning
(4)
temporal abstraction
(4)
hierarchical reinforcement learning
(3)
value function
(3)
function approximation
(2)
policy gradient
(2)
options framework
(2)
continual learning
(2)
state abstraction
(2)
interest function
(2)
initiation set
(2)
hierarchical learning
(1)
policy evaluation
(1)
visual saliency
(1)
multi-task learning
(1)
policy optimization
(1)
risk management
(1)
policy learning
(1)
Papers
A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
AISTATS 2025
Long Range Navigator (LRN): Extending robot planning horizons beyond metric maps
CoRL 2025
Optimizing Return Distributions with Distributional Dynamic Programming
JMLR 2025
Balancing Context Length and Mixing Times for Reinforcement Learning at Scale
NeurIPS 2024
Normalization and effective learning rates in reinforcement learning
NeurIPS 2024
Discovering Object-Centric Generalized Value Functions From Pixels
ICML 2023
Learning Robust State Abstractions for Hidden-Parameter Block MDPs
ICLR 2021
Self-Supervised Attention-Aware Reinforcement Learning
AAAI 2021
Temporally Abstract Partial Models
NeurIPS 2021
Variance Penalized On-Policy and Off-Policy Actor-Critic
AAAI 2021
Options of Interest: Temporal Abstraction with Interest Functions
AAAI 2020
Value Preserving State-Action Abstractions
AISTATS 2020
What can I do here? A Theory of Affordances in Reinforcement Learning
ICML 2020
Learning Generalized Temporal Abstractions across Both Action and Perception
AAAI 2019
Learning Options with Interest Functions
AAAI 2019