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Hierarchical Representation Learning for Markov Decision Processes.

, , and . CoLLAs, volume 232 of Proceedings of Machine Learning Research, page 568-585. PMLR, (2023)

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Hierarchical Representation Learning for Markov Decision Processes., , and . CoRR, (2021)Adaptive Smoothing Path Integral Control., , , and . CoRR, (2020)Kafnets: Kernel-based non-parametric activation functions for neural networks., , , and . Neural Networks, (2019)SQL Injections and Reinforcement Learning: An Empirical Evaluation of the Role of Action Structure., , , , and . NordSec, volume 13115 of Lecture Notes in Computer Science, page 95-113. Springer, (2021)Fast Stochastic Kalman Gradient Descent for Reinforcement Learning., and . L4DC, volume 144 of Proceedings of Machine Learning Research, page 1118-1129. PMLR, (2021)Lifelong Control of Off-grid Microgrid with Model Based Reinforcement Learning., , , and . CoRR, (2020)Adaptive Smoothing for Path Integral Control., , , and . J. Mach. Learn. Res., (2020)A non-parametric softmax for improving neural attention in time-series forecasting., , and . Neurocomputing, (2020)Recurrent Neural Networks with flexible Gates using Kernel activation Functions., , , , and . MLSP, page 1-6. IEEE, (2018)Hierarchical reinforcement learning for efficient exploration and transfer., , , and . CoRR, (2020)