A History Tree Heuristic to Generate Better Initiation Sets for Options in Reinforcement Learning. - Alper Demir 002; Erkin Çilden; Faruk Polat (ECAI, 2016)

Local Roots: A Tree-Based Subgoal Discovery Method to Accelerate Reinforcement Learning. - Alper Demir 002; Erkin Çilden; Faruk Polat (ECML/PKDD (2), 2016)

A Concept Filtering Approach for Diverse Density to Discover Subgoals in Reinforcement Learning. - Alper Demir 002; Erkin Çilden; Faruk Polat (ICTAI, 2017)

Landmark Based Reward Shaping in Reinforcement Learning with Hidden States. - Alper Demir 002; Erkin Çilden; Faruk Polat (AAMAS, 2019)

Generating Effective Initiation Sets for Subgoal-Driven options. - Alper Demir 002; Erkin Çilden; Faruk Polat (Adv. Complex Syst., 2019)

Automatic landmark discovery for learning agents under partial observability. - Alper Demir 002; Erkin Çilden; Faruk Polat (Knowl. Eng. Rev., 2019)

Improving reinforcement learning using distinctive clues of the environment (Çevreden gelen belirgin ipuçlarını kullanarak pekiştirmeli öğrenmeyi geliştirme) - Alper Demir 002 (2019)

Landmark based guidance for reinforcement learning agents under partial observability. - Alper Demir 002; Erkin Çilden; Faruk Polat (Int. J. Mach. Learn. Cybern., 2023)

Correction: Landmark based guidance for reinforcement learning agents under partial observability. - Alper Demir 002; Erkin Çilden; Faruk Polat (Int. J. Mach. Learn. Cybern., 2023)

Learning what to memorize: Using intrinsic motivation to form useful memory in partially observable reinforcement learning. - Alper Demir 002 (Appl. Intell., 2023)