Browsing by Subject "Reinforcement Learning"
Now showing items 1-5 of 5
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A Comparison of Traversal Strategies for Tangled Program Graphs under the Arcade Learning Environment
(2021-04-27)Tangled program graphs provides a framework for constructing modular genetic programming solutions to visual reinforcement learning tasks. In order to guard against the development of cycles within the resulting graph, and ... -
Identifying Factors Influencing Electronic Gaming Machine Player Behavior Using Interpretable AI and Mimicking Player Behavior Using Reinforcement Learning
(2022-12-06)People in venues like casinos play games on Electronic Gaming Machines (EGMs). These machines do not record information about players, such as their playing experience. The gaming industry is keen on learning about the ... -
ON DEVELOPMENTAL VARIATION IN HIERARCHICAL SYMBIOTIC POLICY SEARCH
(2012-08-27)A hierarchical symbiotic framework for policy search with genetic programming (GP) is evaluated in two control-style temporal sequence learning domains. The symbiotic formulation assumes each policy takes the form of a ... -
Reinforcement Learning with Real Valued Tangled Program Graphs
(2021-08-27)Tangled Program Graphs (TPG) represents a framework for evolving programs under an explicitly emergent model for modularity. The framework has been very successful at discovering solutions to tasks with delayed rewards ... -
RLC: A Reinforcement Learning Based Charging Scheme for Battery Swap Stations
(2023-06-19)Battery Swapping Station (BSS) is emerging as a promising solution to the prevalent issue of range anxiety among Electric Vehicle (EV) users. Typically, BSS replaces the drained battery of an incoming EV with a fully charged ...
