Georgios Theocharous
14 papers · 2015–2024 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (23)
π
Grand Slam
ποΈ
Keyword Collector
(64)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(11)
Reinforcement Learning
(11)
Methods
(10)
Learning Types Β· Machine Learning
(9)
Artificial Intelligence
(7)
Core AI
(7)
Optimization & Theory
(5)
Mathematics & Optimization
(2)
Optimization
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Applications Β· Data Science & Analytics
(1)
Applications Β· Reinforcement Learning
(1)
Core Methods
(1)
Learning Types Β· Deep Learning
(1)
Keywords
reinforcement learning
(8)
seldonian algorithm
(2)
action space
(2)
markov decision process
(2)
online learning
(2)
non-stationary mdp
(2)
policy gradient
(2)
offline reinforcement learning
(1)
off-policy evaluation
(1)
sample efficiency
(1)
policy learning
(1)
posterior sampling
(1)
distributional reinforcement learning
(1)
dynamic regret
(1)
sequential decision making
(1)
sequential decision
(1)
policy evaluation
(1)
variance reduction
(1)
sequential hypothesis testing
(1)
importance sampling
(1)
Papers
Distributional Off-Policy Evaluation for Slate Recommendations
AAAI 2024
Explaining RL Decisions with Trajectories
ICLR 2023
Smoothed Online Combinatorial Optimization Using Imperfect Predictions
AAAI 2023
Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning
AAAI 2022
High Confidence Generalization for Reinforcement Learning
ICML 2021
Lifelong Learning with a Changing Action Set
AAAI 2020
Optimizing for the Future in Non-Stationary MDPs
ICML 2020
Reinforcement Learning When All Actions Are Not Always Available
AAAI 2020
Towards Safe Policy Improvement for Non-Stationary MDPs
NeurIPS 2020
Learning Action Representations for Reinforcement Learning
ICML 2019
Scalar Posterior Sampling with Applications
NeurIPS 2018
High Confidence Policy Improvement
ICML 2015
Personalized Ad Recommendation Systems for Life-Time Value Optimization with Guarantees
IJCAI 2015
Policy Evaluation Using the Ξ©-Return
NeurIPS 2015