mlsanityData to 7 Oct 2026

TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning

arXiv 2205.00293 ↗First posted 30 Apr 2022cs.LG cs.NE math.OCcited by 15

Not on the map. Why?

Abstract (arXiv)

We present a novel procedure for optimization based on the combination of efficient quantized tensor train representation and a generalized maximum matrix volume principle. We demonstrate the applicability of the new Tensor Train Optimizer (TTOpt) method for various tasks, ranging from minimization of multidimensional functions to reinforcement learning. Our algorithm compares favorably to popular evolutionary-based methods and outperforms them by the number of function evaluations or execution time, often by a significant margin.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). Builds on 20 of its 103 references that are in the map. First posted on arXiv 30 Apr 2022.

Builds on

20 of 103 references.

References · 20

  1. 2017Proximal Policy Optimization Algorithmscited by 14,441
  2. 2021Zero-Shot Text-to-Image Generationcited by 4,276
  3. 2015Trust Region Policy Optimizationcited by 2,503
  4. 2018Recurrent World Models Facilitate Policy Evolutioncited by 761
  5. 2017Evolution Strategies as a Scalable Alternative to Reinforcement Learningcited by 555
  6. 2019Ab-Initio Solution of the Many-Electron Schr"odinger Equation with Deep Neural Networkscited by 195
  7. 2017Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learningcited by 148
  8. 2017Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agentscited by 107
  9. 2018Evolution-Guided Policy Gradient in Reinforcement Learningcited by 78
  10. 2013A Literature Survey of Benchmark Functions For Global Optimization Problemscited by 75
  11. 2019AlphaStar: An Evolutionary Computation Perspectivecited by 50
  12. 2018Structured Evolution with Compact Architectures for Scalable Policy Optimizationcited by 48
8 more
  1. 2018Global Deterministic Optimization with Artificial Neural Networks Embeddedcited by 32
  2. 2019Evolving Rewards to Automate Reinforcement Learningcited by 28
  3. 2021Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learningcited by 25
  4. 2017ES Is More Than Just a Traditional Finite-Difference Approximatorcited by 24
  5. 2016Particle Swarm Optimization for Generating Interpretable Fuzzy Reinforcement Learning Policiescited by 19
  6. 2020Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarkingcited by 14
  7. 2016High-Dimensional Stochastic Optimal Control using Continuous Tensor Decompositionscited by 13
  8. 2021Automatic differentiation for Riemannian optimization on low-rank matrix and tensor-train manifoldscited by 6

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 4; 2023: 4; 2024: 2; 2025: 3; 2026: 2.

15 papers.

Sort:

  1. 2025MaxInfo: A Training-Free Key-Frame Selection Method Using Maximum Volume for Enhanced Video Understandingcited by 16
  2. 2023Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluationscited by 12
  3. 2022Towards Practical Control of Singular Values of Convolutional Layerscited by 9
  4. 2022tntorch: Tensor Network Learning with PyTorchcited by 7
  5. 2022Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networkscited by 4
  6. 2023Decomposition Ascribed Synergistic Learning for Unified Image Restorationcited by 3
  7. 2022Tensor Train for Global Optimization Problems in Roboticscited by 2
  8. 2023Translate your gibberish: black-box adversarial attack on machine translation systemscited by 2
  9. 2023Fast gradient-free activation maximization for neurons in spiking neural networkscited by 2
  10. 2024Black-Box Approximation and Optimization with Hierarchical Tucker Decompositioncited by 0
  11. 2024T'ecnicas Quantum-Inspired en Tensor Networks para Contextos Industrialescited by 0
  12. 2025Quantum-based QoE Optimization in Advanced Cellular Networks: Integration and Cloud Gaming Use Casecited by 0
3 more
  1. 2025Tensor Computing Interface: An Application-Oriented, Lightweight Interface for Portable High-Performance Tensor Network Applicationscited by 0
  2. 2026A Tensor-Train Framework for Bayesian Inference in High-Dimensional Systems: Applications to MIMO Detection and Channel Decodingcited by 0
  3. 2026Constraint-Aware Discrete Black-Box Optimization Using Tensor Decompositioncited by 0