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ORCIDAbdullah Akgül
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2020 – today
- 2026
[c5]Théo Vincent, Yogesh Tripathi, Tim Lukas Faust, Abdullah Akgül, Yaniv Oren, Melih Kandemir, Jan Peters, Carlo D'Eramo:
Bridging the performance-gap between target-free and target-based reinforcement learning. ICLR 2026- [i11]Abdullah Akgül, Gulcin Baykal, Manuel Haußmann, Mustafa Mert Çelikok, Melih Kandemir:
Distributional Active Inference. CoRR abs/2601.20985 (2026) - [i10]Magnus Victor Boock, Abdullah Akgül, Mustafa Mert Çelikok, Melih Kandemir:
Hitting Time Isomorphism for Multi-Stage Planning with Foundation Policies. CoRR abs/2605.06470 (2026) - 2025
- [j2]Abdullah Akgül, Gulcin Baykal, Manuel Haussmann, Melih Kandemir:
Overcoming Non-stationary Dynamics with Evidential Proximal Policy Optimization. Trans. Mach. Learn. Res. 2025 (2025) - [i9]Abdullah Akgül, Gulcin Baykal, Manuel Haußmann, Melih Kandemir:
Improving Plasticity in Non-stationary Reinforcement Learning with Evidential Proximal Policy Optimization. CoRR abs/2503.01468 (2025) - [i8]Gulcin Baykal, Abdullah Akgül, Manuel Haussmann, Bahareh Tasdighi, Nicklas Werge, Yi-Shan Wu, Melih Kandemir:
ObjectRL: An Object-Oriented Reinforcement Learning Codebase. CoRR abs/2507.03487 (2025) - 2024
- [c4]Bahareh Tasdighi, Abdullah Akgül, Manuel Haussmann, Kenny Kazimirzak Brink, Melih Kandemir:
PAC-Bayesian Soft Actor-Critic Learning. AABI 2024: 127-145 - [c3]Abdullah Akgül, Gozde Unal, Melih Kandemir:
Continual learning of multi-modal dynamics with external memory. L4DC 2024: 40-51 - [c2]Abdullah Akgül, Manuel Haussmann, Melih Kandemir:
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning. NeurIPS 2024 - [i7]Busra Asan, Abdullah Akgül, Alper Ünal, Melih Kandemir, Gozde Unal:
Calibrating Bayesian UNet++ for Sub-Seasonal Forecasting. CoRR abs/2403.16612 (2024) - [i6]Abdullah Akgül, Manuel Haußmann, Melih Kandemir:
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning. CoRR abs/2406.04088 (2024) - 2023
- [j1]Altay Unal, Abdullah Akgül, Melih Kandemir, Gozde Unal:
Meta Continual Learning on Graphs with Experience Replay. Trans. Mach. Learn. Res. 2023 (2023) - [i5]Bahareh Tasdighi, Abdullah Akgül, Kenny Kazimirzak Brink, Melih Kandemir:
PAC-Bayesian Soft Actor-Critic Learning. CoRR abs/2301.12776 (2023) - [i4]Nicklas Werge
, Abdullah Akgül, Melih Kandemir:
BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary Contextual Bandits. CoRR abs/2307.03587 (2023) - 2022
- [c1]Melih Kandemir, Abdullah Akgül, Manuel Haußmann, Gozde Unal:
Evidential Turing Processes. ICLR 2022 - [i3]Abdullah Akgül, Gozde Unal, Melih Kandemir:
Continual Learning of Multi-modal Dynamics with External Memory. CoRR abs/2203.00936 (2022) - [i2]Atahan Ozer, Kadir Burak Buldu, Abdullah Akgül, Gozde Unal:
How to Combine Variational Bayesian Networks in Federated Learning. CoRR abs/2206.10897 (2022) - 2021
- [i1]Melih Kandemir, Abdullah Akgül, Manuel Haußmann, Gozde Unal:
Evidential Turing Processes. CoRR abs/2106.01216 (2021)
Coauthor Index
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