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stochastic search

8 papers

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Co-occurring keywords · papers mentioning both

policy search (3) black-box optimization (3) evolutionary strategy (2) robot task (1) neural network (1) noisy optimization (1) covariance matrix adaptation (1) ant colony optimization (1) sample-based descent (1) contextual learning (1)

Papers

Ant Colony Sampling with GFlowNets for Combinatorial Optimization AISTATS 2025 Robust Black-Box Optimization for Stochastic Search and Episodic Reinforcement Learning JMLR 2024 Monte Carlo Tree Descent for Black-Box Optimization NeurIPS 2022 Adaptive Risk Sensitive Model Predictive Control with Stochastic Search L4DC 2021 NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-end Learning and Control ICLR 2021 Contextual Covariance Matrix Adaptation Evolutionary Strategies IJCAI 2017 Model-Based Relative Entropy Stochastic Search NeurIPS 2015 Q-learning for history-based reinforcement learning ACML 2013