The following pages link to (Q2934017):
Displaying 24 items.
- Default policies for global optimisation of noisy functions with severe noise (Q522287) (← links)
- Evolution strategies. A comprehensive introduction (Q1610713) (← links)
- Verifiable conditions for the irreducibility and aperiodicity of Markov chains by analyzing underlying deterministic models (Q1715523) (← links)
- Theoretical foundation for CMA-ES from information geometry perspective (Q1945172) (← links)
- On the covariance-Hessian relation in evolution strategies (Q2007723) (← links)
- Contemporary evolution strategies (Q2016595) (← links)
- An ODE method to prove the geometric convergence of adaptive stochastic algorithms (Q2074991) (← links)
- A theoretical and empirical comparison of gradient approximations in derivative-free optimization (Q2143221) (← links)
- Parallel sequential Monte Carlo for stochastic gradient-free nonconvex optimization (Q2209727) (← links)
- Order statistics and region-based evolutionary computation (Q2249813) (← links)
- Compatible natural gradient policy search (Q2320577) (← links)
- Evolution strategies: application in hybrid quantum-classical neural networks (Q2687671) (← links)
- Linear Convergence of Comparison-based Step-size Adaptive Randomized Search via Stability of Markov Chains (Q3187981) (← links)
- Principled Design of Continuous Stochastic Search: From Theory to Practice (Q3459678) (← links)
- Warped Riemannian Metrics for Location-Scale Models (Q4967761) (← links)
- PI-ELM: reinforcement learning-based adaptable policy improvement for dynamical system (Q6058305) (← links)
- An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents (Q6087487) (← links)
- A natural Hessian approximation for ensemble based optimization (Q6106113) (← links)
- Personalized dynamic treatment regimes in continuous time: a Bayesian approach for optimizing clinical decisions with timing (Q6121782) (← links)
- Orchard algorithm (OA): a new meta-heuristic algorithm for solving discrete and continuous optimization problems (Q6161963) (← links)
- Entropic Trust Region for Densest Crystallographic Symmetry Group Packings (Q6173479) (← links)
- Federated reinforcement learning for robot motion planning with zero-shot generalization (Q6574451) (← links)
- Cyclical inverse interpolation: an approach for the inverse interpolation of black-box models using tensor product representations (Q6578385) (← links)
- Reinforcement learning (Q6602227) (← links)
