Co-occurring keywords · papers mentioning both
Papers
Convergence behavior of belief propagation: estimating regions of attraction via Lyapunov functions
UAI 2021
Large Associative Memory Problem in Neurobiology and Machine Learning
ICLR 2021
Learning Dynamics Models with Stable Invariant Sets
AAAI 2021
Neural Lyapunov Redesign
L4DC 2021
On Convergence of Gradient Expected Sarsa(λ)
AAAI 2021
Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry
ICLR 2021
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions
CoRL 2021
Almost Surely Stable Deep Dynamics
NeurIPS 2020
Convergence of a Stochastic Gradient Method with Momentum for Non-Smooth Non-Convex Optimization
ICML 2020
Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes
NeurIPS 2020
Stable Reinforcement Learning with Unbounded State Space
L4DC 2020
Adaptive Optimization Framework for Control of Multi-Agent Systems
AAAI 2019
Finite-Time Error Bounds For Linear Stochastic Approximation andTD Learning
COLT 2019
Learning Stable Deep Dynamics Models
NeurIPS 2019
Neural Lyapunov Control
NeurIPS 2019
A Lyapunov-based Approach to Safe Reinforcement Learning
NeurIPS 2018
Learning Attractor Dynamics for Generative Memory
NeurIPS 2018
Lyapunov Functions for First-Order Methods: Tight Automated Convergence Guarantees
ICML 2018
The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems
CoRL 2018
Dissipativity Theory for Nesterov’s Accelerated Method
ICML 2017
Adaptive Averaging in Accelerated Descent Dynamics
NeurIPS 2016
LQR-trees: Feedback motion planning on sparse randomized trees
RSS 2009
Closed Loop Control of a Gravity-assisted Underactuated Robot Arm with Application to Aircraft Wing-
RSS 2007
The Neurodynamics of Belief Propagation on Binary Markov Random Fields
NeurIPS 2006