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Publications by Richard Lincoln
Comparing Policy Gradient and Value Function Based Reinforcement Learning Methods in Simulated Electrical Power Trade
IEEE Transactions on Power Systems
Electronic Engineering
Power Technology
Electrical
Energy Engineering
U.S. Population Growth and Family Planning: A Review of the Literature
Family Planning Perspectives
Related publications
Similarities Between Policy Gradient Methods (PGM) in Reinforcement Learning (RL) and Supervised Learning (SL)
SSRN Electronic Journal
Approximate Value Iteration in the Reinforcement Learning Context. Application to Electrical Power System Control.
International Journal of Emerging Electric Power Systems
Power Technology
Energy Engineering
Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
International Trade Policy and Global Value Chains
Vision-Based Landing of a Simulated Unmanned Aerial Vehicle With Fast Reinforcement Learning
Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Characterizing Reinforcement Learning Methods Through Parameterized Learning Problems
Machine Learning
Artificial Intelligence
Software
Nested Reinforcement Learning Based Control for Protective Relays in Power Distribution Systems
How Pupil Responses Track Value-Based Decision-Making During and After Reinforcement Learning
PLoS Computational Biology
Molecular Neuroscience
Evolution
Ecology
Genetics
Behavior
Molecular Biology
Systematics
Simulation
Cellular
Computational Theory
Mathematics
Modeling
