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Melih Kandemir — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Melih Kandemir
15
papers ·
19
citations ·
16
h-index
University of Southern Denmark
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Bridging the Performance Gap Between Target-Free and Target-Based Reinforcement Learning
2025 · 5 citations
Overcoming Non-stationary Dynamics with Evidential Proximal Policy Optimization
2025 · 2 citations
PAC-Bayesian Soft Actor-Critic Learning
2023 · 2 citations
Improving Actor-Critic Training with Steerable Action-Value Approximation Errors
2024 · 1 citations
A Measure-Theoretic Finite-Sample Theory for Adaptive-Data Fitted Q-Iteration
2026
Hitting Time Isomorphism for Multi-Stage Planning with Foundation Policies
2026
Distributional Active Inference
2026
ObjectRL: An Object-Oriented Reinforcement Learning Codebase
2025
Adaptive Ensemble Aggregation for Actor-Critics
2025
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
2024
Deep Exploration with PAC-Bayes
2024
Top co-authors
Abdullah Akg\"ul
· 7
Bahareh Tasdighi
· 5
Manuel Haussmann
· 5
Nicklas Werge
· 4
Yi-Shan Wu
· 4
Gulcin Baykal
· 3
Manuel Hau{\ss}mann
· 3
Mustafa Mert \c{C}elikok
· 3
Carlo D'Eramo
· 1
Jan Peters
· 1
Kenny Kazimirzak Brink
· 1
Magnus Victor Boock
· 1
Topics
Value-Based
Policy Gradient
Model-Based RL
Exploration
cs.LG
Meta-RL
Offline RL