Khimya Khetarpal
15 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (8)
π
Cross-Pollinator
(8)
πΊοΈ
Taxonomy Completionist
(26)
π
Grand Slam
π§¬
Topic Evolution
π
Conference Pioneer
β
The Questioner
ποΈ
Keyword Collector
(61)
π
Century Club
(15)
Conferences
AAAI (5)
NIPS (3)
AISTATS (2)
ICML (2)
CORL (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
reinforcement learning
(5)
temporal abstraction
(4)
markov decision process
(4)
deep reinforcement learning
(4)
hierarchical reinforcement learning
(3)
function approximation
(2)
policy gradient
(2)
continual learning
(2)
initiation set
(2)
value function
(2)
options framework
(2)
interest function
(2)
hierarchical learning
(1)
policy evaluation
(1)
visual saliency
(1)
multi-task learning
(1)
policy optimization
(1)
risk management
(1)
policy learning
(1)
offline reinforcement 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
NIPS 2024
Normalization and effective learning rates in reinforcement learning
NIPS 2024
Discovering Object-Centric Generalized Value Functions From Pixels
ICML 2023
Variance Penalized On-Policy and Off-Policy Actor-Critic
AAAI 2021
Temporally Abstract Partial Models
NIPS 2021
Self-Supervised Attention-Aware Reinforcement Learning
AAAI 2021
Learning Robust State Abstractions for Hidden-Parameter Block MDPs
ICLR 2021
Options of Interest: Temporal Abstraction with Interest Functions
AAAI 2020
What can I do here? A Theory of Affordances in Reinforcement Learning
ICML 2020
Value Preserving State-Action Abstractions
AISTATS 2020
Learning Generalized Temporal Abstractions across Both Action and Perception
AAAI 2019
Learning Options with Interest Functions
AAAI 2019