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Learn to Adapt: A Policy for History-Based Online Adaptation.

IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 9(6), 4026-4036. [SJR: D1]

Szoke, L., Shperberg, S., Holtz, J., & Allievi, A. (2024).

Adaptive Curriculum Learning with Successor Features for Imbalanced Compositional Reward Functions.

IEEE ROBOTICS AND AUTOMATION LETTERS, 9(6), 5174-5181. [SJR: D1]

Szoke, L., Aradi, S., Bécsi, T., & Gáspár, P. (2022).

Skills to Drive: Successor Features for Autonomous Highway Pilot.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 23(10), 18707-18718. [SJR: D1]

Kővári, B., Szőke, L., Bécsi, T., Aradi, S., & Gáspár, P. (2021).

Traffic Signal Control via Reinforcement Learning for Reducing Global Vehicle Emission.

SUSTAINABILITY, 13(20). [SJR: Q1]

Szoke, L., Aradi, S., & Bécsi, T. (2023).

Traffic Signal Control with Successor Feature-Based Deep Reinforcement Learning Agent.

ELECTRONICS (SWITZ), 12(6). [SJR: Q2]