A reinforcement learning approach to autonomous decision-making in smart electricity markets
暂无分享,去创建一个
Wolfgang Ketter | John Collins | Maytal Saar-Tsechansky | Markus Peters | John Collins | M. Saar-Tsechansky | M. Peters | W. Ketter
[1] Richard S. Sutton,et al. Introduction to Reinforcement Learning , 1998 .
[2] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[3] Gunar E. Liepins,et al. Genetic algorithms: Foundations and applications , 1990 .
[4] Wolfgang Ketter,et al. Autonomous Data-Driven Decision-Making in Smart Electricity Markets , 2012, ECML/PKDD.
[5] Wolfgang Ketter,et al. The 2016 Power Trading Agent Competition , 2012 .
[6] Nicholas R. Jennings,et al. Computational-Mechanism Design: A Call to Arms , 2003, IEEE Intell. Syst..
[7] Manuela M. Veloso,et al. Strategy Learning for Autonomous Agents in Smart Grid Markets , 2011, IJCAI.
[8] Andrew Y. Ng,et al. Regularization and feature selection in least-squares temporal difference learning , 2009, ICML '09.
[9] Manuela M. Veloso,et al. Learned Behaviors of Multiple Autonomous Agents in Smart Grid Markets , 2011, AAAI.
[10] Michail G. Lagoudakis,et al. Least-Squares Policy Iteration , 2003, J. Mach. Learn. Res..
[11] Peter Stone,et al. Adaptive Auction Mechanism Design and the Incorporation of Prior Knowledge , 2010, INFORMS J. Comput..
[12] Csaba Szepesvári,et al. Algorithms for Reinforcement Learning , 2010, Synthesis Lectures on Artificial Intelligence and Machine Learning.
[13] Paul J. Werbos,et al. Putting more brain-like intelligence into the electric power grid: What we need and how to do it , 2009, 2009 International Joint Conference on Neural Networks.
[14] Ronald E. Parr,et al. L1 Regularized Linear Temporal Difference Learning , 2012 .
[15] Alessandro Lazaric,et al. LSTD with Random Projections , 2010, NIPS.
[16] Leigh Tesfatsion,et al. Market power and efficiency in a computational electricity market with discriminatory double-auction pricing , 2001, IEEE Trans. Evol. Comput..
[17] R. Munos,et al. LSPI with Random Projections , 2010 .
[18] Martin Bichler,et al. Designing smart markets , 2010 .
[19] Wolfgang Ketter,et al. Demand side management—A simulation of household behavior under variable prices , 2011 .
[20] Catherine Waddams Price,et al. Do Consumers Switch to the Best Supplier , 2007 .
[21] D. Parkes. Algorithmic Game Theory: Online Mechanisms , 2007 .
[22] Shimon Whiteson,et al. Protecting against evaluation overfitting in empirical reinforcement learning , 2011, 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).
[23] K. De Jong. Learning with Genetic Algorithms: An Overview , 1988 .
[24] M. Loth,et al. Sparse Temporal Difference Learning Using LASSO , 2007, 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning.
[25] Pat Langley,et al. Selection of Relevant Features and Examples in Machine Learning , 1997, Artif. Intell..
[26] Charles Elkan,et al. Policy Iteration Based on a Learned Transition Model , 2012, ECML/PKDD.
[27] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[28] Mahesan Niranjan,et al. On-line Q-learning using connectionist systems , 1994 .
[29] Lihong Li,et al. An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning , 2008, ICML '08.
[30] Habib Rajabi Mashhadi,et al. An Adaptive $Q$-Learning Algorithm Developed for Agent-Based Computational Modeling of Electricity Market , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[31] Larry D. Pyeatt,et al. Decision Tree Function Approximation in Reinforcement Learning , 1999 .
[32] Marek Petrik,et al. Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes , 2010, ICML.
[33] M. M. De Weerdt,et al. Pricing mechanism for real-time balancing in regional electricity markets , 2011, TADA 2011.
[34] Andrew G. Barto,et al. Linear Least-Squares Algorithms for Temporal Difference Learning , 2005, Machine Learning.
[35] Bart De Schutter,et al. Reinforcement Learning and Dynamic Programming Using Function Approximators , 2010 .
[36] Risto Miikkulainen,et al. Automatic feature selection in neuroevolution , 2005, GECCO '05.
[37] A. Rosenfeld,et al. An exploratory analysis of California residential customer response to critical peak pricing of electricity , 2007 .
[38] Martin Bichler,et al. Research Commentary - Designing Smart Markets , 2010, Inf. Syst. Res..
[39] J. Contreras,et al. Forecasting electricity prices for a day-ahead pool-based electric energy market , 2005 .
[40] Kenneth DeJong,et al. Learning with genetic algorithms: An overview , 1988, Machine Learning.
[41] Maria L. Gini,et al. Real-Time Tactical and Strategic Sales Management for Intelligent Agents Guided by Economic Regimes , 2008, Inf. Syst. Res..
[42] Christopher M. Bishop,et al. Current address: Microsoft Research, , 2022 .