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Faruk Polat

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Erkin Çilden

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Publications

2023
[j53]
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  - journals/mlc/DemirCP23
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  - https://dblp.org/rec/journals/mlc/DemirCP23
Alper Demir, Erkin Çilden, Faruk Polat:
Landmark based guidance for reinforcement learning agents under partial observability. Int. J. Mach. Learn. Cybern. 14(4): 1543-1563 (2023)
[j52]
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  - journals/mlc/DemirCP23a
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Alper Demir, Erkin Çilden, Faruk Polat:
Correction: Landmark based guidance for reinforcement learning agents under partial observability. Int. J. Mach. Learn. Cybern. 14(4): 1565 (2023)
2022
[j51]
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  - journals/fgcs/AydinCP22
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  - https://dblp.org/rec/journals/fgcs/AydinCP22
Hüseyin Aydin, Erkin Çilden, Faruk Polat:
Using chains of bottleneck transitions to decompose and solve reinforcement learning tasks with hidden states. Future Gener. Comput. Syst. 133: 153-168 (2022)
2019
[j48]
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  - journals/advcs/DemirCP19
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  - https://dblp.org/rec/journals/advcs/DemirCP19
Alper Demir, Erkin Çilden, Faruk Polat:
Generating Effective Initiation Sets for Subgoal-Driven options. Adv. Complex Syst. 22(2): 1950001:1-1950001:32 (2019)
[j45]
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  dblp key:
  - journals/ker/DemrCP19
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  - https://dblp.org/rec/journals/ker/DemrCP19
Alper Demir, Erkin Çilden, Faruk Polat:
Automatic landmark discovery for learning agents under partial observability. Knowl. Eng. Rev. 34: e11 (2019)
[c57]
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  - electronic edition @ acm.org
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  dblp key:
  - conf/atal/0002CP19
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Alper Demir, Erkin Çilden, Faruk Polat:
Landmark Based Reward Shaping in Reinforcement Learning with Hidden States. AAMAS 2019: 1922-1924
[c56]
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  - conf/prima/AydinCP19
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Hüseyin Aydin, Erkin Çilden, Faruk Polat:
Compact Frequency Memory for Reinforcement Learning with Hidden States. PRIMA 2019: 425-433
2017
[c53]
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  - conf/ictai/DemirCP17
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Alper Demir, Erkin Çilden, Faruk Polat:
A Concept Filtering Approach for Diverse Density to Discover Subgoals in Reinforcement Learning. ICTAI 2017: 1-5
[c52]
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  - conf/ictai/AydinCP17
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Hüseyin Aydin, Erkin Çilden, Faruk Polat:
Using Transitional Bottlenecks to Improve Learning in Nearest Sequence Memory Algorithm. ICTAI 2017: 147-152
2016
[c49]
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  - conf/ecai/DemirCP16
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Alper Demir, Erkin Çilden, Faruk Polat:
A History Tree Heuristic to Generate Better Initiation Sets for Options in Reinforcement Learning. ECAI 2016: 1644-1645
[c48]
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  dblp key:
  - conf/pkdd/DemirCP16
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Alper Demir, Erkin Çilden, Faruk Polat:
Local Roots: A Tree-Based Subgoal Discovery Method to Accelerate Reinforcement Learning. ECML/PKDD (2) 2016: 361-376
2015
[j36]
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  - journals/tcyb/CildenP15
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Erkin Çilden, Faruk Polat:
Toward Generalization of Automated Temporal Abstraction to Partially Observable Reinforcement Learning. IEEE Trans. Cybern. 45(8): 1414-1425 (2015)
[c45]
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  dblp key:
  - conf/cybconf/SahinCP15
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Coskun Sahin, Erkin Çilden, Faruk Polat:
Memory efficient factored abstraction for reinforcement learning. CYBCONF 2015: 18-23
2014
[c42]
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  - conf/mates/CildenP14
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Erkin Çilden, Faruk Polat:
Employing Automatic Temporal Abstractions to Accelerate Utile Suffix Memory Algorithm. MATES 2014: 156-169
2013
[c40]
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  - conf/ictai/CildenP13
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Erkin Çilden, Faruk Polat:
Generating Memoryless Policies Faster Using Automatic Temporal Abstractions for Reinforcement Learning with Hidden State. ICTAI 2013: 719-726
2012
[c38]
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  - conf/iat/CildenP12
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Erkin Çilden, Faruk Polat:
Abstraction in Model Based Partially Observable Reinforcement Learning Using Extended Sequence Trees. IAT 2012: 348-355

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