Jeonghye Kim
9 papers · 2023–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🏆 Grand Slam 🏆 Keyword Champion (2)
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Keyword Collector
(52)
Top co-authors
Research topics
Reinforcement Learning
(7)
Methods
(7)
Artificial Intelligence
(4)
Machine Learning
(4)
Core AI
(3)
Learning Types · Machine Learning
(3)
Deep Learning
(2)
Architectures
(2)
Learning Types · Deep Learning
(2)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Learning Paradigms · Machine Learning
(1)
Learning Paradigms · Artificial Intelligence
(1)
Keywords
offline reinforcement learning
(2)
reinforcement learning
(2)
reward scaling
(2)
policy learning
(2)
supervised learning
(1)
test-time adaptation
(1)
continual learning
(1)
embodied agent
(1)
markov decision process
(1)
exploration-exploitation tradeoff
(1)
value function
(1)
value iteration
(1)
convergence
(1)
distribution shift
(1)
information gain
(1)
value estimation
(1)
partial observability
(1)
exploration strategy
(1)
neural architecture
(1)
decision making
(1)
Papers
Align While Search: Belief-Guided Exploratory Inference for World-Grounded Embodied Agents
CVPR 2026
RL-Studio: A System for Multi-Phase Reinforcement Learning Experimentation
AAAI 2026
ARS: Adaptive Reward Scaling for Multi-Task Reinforcement Learning
ICML 2025
Online Pre-Training for Offline-to-Online Reinforcement Learning
ICML 2025
Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data
ICML 2025
ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection
EMNLP 2025
Adaptive Q-Aid for Conditional Supervised Learning in Offline Reinforcement Learning
NeurIPS 2024
Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making
ICLR 2024
LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework
ICML 2023