Lior Shani
11 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (23) π Conference Polyglot Β· Silver
π
Grand Slam
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Keyword Champion
(2)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Reinforcement Learning
(9)
Methods
(8)
Machine Learning
(7)
Artificial Intelligence
(5)
Core AI
(5)
Learning Types
(4)
Natural Language Processing
(3)
Application Areas
(2)
Generation
(2)
Optimization & Theory
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Applications Β· Reinforcement Learning
(1)
Applications Β· Natural Language Processing
(1)
Core Methods
(1)
Keywords
reinforcement learning
(7)
regret bound
(4)
policy optimization
(3)
markov decision process
(3)
model-based reinforcement learning
(2)
trust region
(2)
trust region policy optimization
(2)
mirror descent
(2)
exploration-exploitation tradeoff
(1)
behavior cloning
(1)
policy gradient
(1)
language model alignment
(1)
autonomous driving
(1)
policy search
(1)
imitation learning
(1)
bandit feedback
(1)
optimal policy
(1)
global convergence
(1)
apprenticeship learning
(1)
embedding learning
(1)
Papers
Demystifying Embedding Spaces using Large Language Models
ICLR 2024
Embedding-Aligned Language Models
NeurIPS 2024
Multi-turn Reinforcement Learning with Preference Human Feedback
NeurIPS 2024
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback
ACL 2023
Reinforcement Learning with History Dependent Dynamic Contexts
ICML 2023
Mirror Descent Policy Optimization
ICLR 2022
Online Apprenticeship Learning
AAAI 2022
Reinforcement Learning with a Terminator
NeurIPS 2022
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs
AAAI 2020
Optimistic Policy Optimization with Bandit Feedback
ICML 2020
Exploration Conscious Reinforcement Learning Revisited
ICML 2019