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gptkb:M-theory_on_AdS4_x_S7/Zk
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Aharony, Bergman, Jafferis, Maldacena (2008)
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|
gptkb:SPHINCS+
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https://sphincs.org/data/sphincs+-r3.1-spec.pdf
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gptkb:LBFGS
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Liu, D. C., & Nocedal, J. (1989). On the limited memory BFGS method for large scale optimization. Mathematical Programming.
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gptkb:Policy_Gradient
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gptkb:Soft_Actor-Critic:_Off-Policy_Maximum_Entropy_Deep_Reinforcement_Learning_with_a_Stochastic_Actor
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gptkb:SHA-3
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gptkb:The_Keccak_sponge_function_family
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gptkb:Adaptive_Boosting
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gptkb:A_Decision-Theoretic_Generalization_of_On-Line_Learning_and_an_Application_to_Boosting
|
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gptkb:LBFGS
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Nocedal, J. (1980). Updating quasi-Newton matrices with limited storage. Mathematics of Computation.
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gptkb:Policy_Gradient
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gptkb:Trust_Region_Policy_Optimization
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gptkb:Policy_Gradient
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gptkb:Deterministic_Policy_Gradient_Algorithms
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|
gptkb:Kyber
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gptkb:CRYSTALS-Kyber:_A_CCA-Secure_Module-Lattice-Based_KEM
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gptkb:Policy_Gradient
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gptkb:Policy_Gradient_Methods_for_Reinforcement_Learning_with_Function_Approximation
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|
gptkb:Policy_Gradient
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gptkb:Proximal_Policy_Optimization_Algorithms
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gptkb:Luby_Transform_codes
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LT Codes, Michael Luby, 2002
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|
gptkb:Particle_Filter_SLAM
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Probabilistic Robotics (Thrun, Burgard, Fox, 2005)
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