vix.ing · top · new · best · stats · spec

Glasmachers, Tobias

  1. Limits of End-to-End Learning
    2017/04/26 by Glasmachers, Tobias · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  2. Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing
    2020/04/16 by Declan Oller, Oller, Declan, Tobias Glasmachers +3 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
  3. Testing Hypotheses by Regularized Maximum Mean Discrepancy
    2013/05/02 by Somayeh Danafar, Paola M. V. Rancoita, Danafar, Somayeh +7 · 1 citation
    Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Statistical Methods and Inference #Image and Signal Denoising Methods
  4. Global Linear Convergence of Evolution Strategies on More Than Smooth Strongly Convex Functions
    2020/09/18 by Youhei Akimoto, Akimoto, Youhei, Tobias Glasmachers +4 · 1 citation
    Computer Science · Decision Sciences · #Stochastic Gradient Optimization Techniques #Advanced Bandit Algorithms Research #Risk and Portfolio Optimization
  5. Drift Theory in Continuous Search Spaces: Expected Hitting Time of the (1+1)-ES with 1/5 Success Rule
    2018/02/09 by Youhei Akimoto, Anne Auger, Akimoto, Youhei +3 · 1 citation
    Computer Science · Decision Sciences · #Optimization and Search Problems #Auction Theory and Applications #Metaheuristic Optimization Algorithms Research
  6. ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation
    2023/07/06 by Abhijeet Pendyala, Justin Dettmer, Pendyala, Abhijeet +5 · 2 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Scheduling and Optimization Algorithms
  7. Deep Reinforcement Learning Based Navigation with Macro Actions and Topological Maps
    2025/04/25 by Simon Hakenes, Hakenes, Simon, Tobias Glasmachers +1 · 2 citations
    Computer Science · Engineering · #Reinforcement Learning in Robotics #Robotic Path Planning Algorithms #Robotics and Sensor-Based Localization