Dataset Groups Activity Stream PASA: Probabilistic Adaptive State Aggregation The dataset used in the paper is a state aggregation approximation architecture, which is adapted using feedback regarding the frequency with which an agent has visited certain states. BibTex: @dataset{Edward_W_Barker_and_Charl_J_Ras_2025, abstract = {The dataset used in the paper is a state aggregation approximation architecture, which is adapted using feedback regarding the frequency with which an agent has visited certain states.}, author = {Edward W. Barker and Charl J. Ras}, doi = {10.57702/vaajfj4t}, institution = {No Organization}, keyword = {'reinforcement learning', 'state aggregation', 'value function approximation'}, month = {jan}, publisher = {TIB}, title = {PASA: Probabilistic Adaptive State Aggregation}, url = {https://service.tib.eu/ldmservice/dataset/pasa--probabilistic-adaptive-state-aggregation}, year = {2025} }
