GitHub

Increasing the Scope as You Learn: BAxUS

💡 NOTE: If you're interested in BAxUS, please consider using Bounce, which comes with an improved trust region management policy, an easier setup, and batch parallelism. benchmark_runner.py -id 100 ...
InfoQ

Autonomous Big Data Optimization: Multi-Agent Reinforcement Learning to Achieve Self-Tuning Apache Spark

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
IEEE

Simulation-To-Reality Hyperparameter Optimization of MPPI Controllers via Bayesian Optimization in NVIDIA Omniverse Isaac Sim

Abstract: Autonomous mobile robots navigating in dynamic environments require robust and efficient control strategies. Model Predictive Path Integral (MPPI) control offers flexibility and ...
IEEE

Safe Bayesian Optimization Across Noise Models via Scenario Programming

Abstract: Safe Bayesian optimization (BO) with Gaussian processes is an effective tool for tuning control policies in safety-critical real-world systems, specifically due to its sample efficiency and ...