mlsanityData to 7 Oct 2026

From Classical to Quantum Reinforcement Learning and Its Applications in Quantum Control: A Beginner's Tutorial

arXiv 2601.08662 ↗First posted 13 Jan 2026cs.AI quant-phcited by 0

Not on the map. Why?

Abstract (arXiv)

This tutorial is designed to make reinforcement learning (RL) more accessible to undergraduate students by offering clear, example-driven explanations. It focuses on bridging the gap between RL theory and practical coding applications, addressing common challenges that students face when transitioning from conceptual understanding to implementation. Through hands-on examples and approachable explanations, the tutorial aims to equip students with the foundational skills needed to confidently apply RL techniques in real-world scenarios.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 15 of its 90 references that are in the map. First posted on arXiv 13 Jan 2026.

Builds on

15 of 90 references.

References · 15

  1. 2022Training language models to follow instructions with human feedbackcited by 15,712
  2. 2017Proximal Policy Optimization Algorithmscited by 14,441
  3. 2015Continuous control with deep reinforcement learningcited by 3,279
  4. 2015Trust Region Policy Optimizationcited by 2,503
  5. 2018Addressing Function Approximation Error in Actor-Critic Methodscited by 2,302
  6. 2019Mastering Atari, Go, Chess and Shogi by Planning with a Learned Modelcited by 1,327
  7. 2018Soft Actor-Critic Algorithms and Applicationscited by 1,179
  8. 2024Reinforcement learningcited by 236
  9. 2020Sample Efficient Reinforcement Learning with REINFORCEcited by 85
  10. 2018Universal Quantum Control through Deep Reinforcement Learningcited by 44
  11. 2020Is Long Horizon Reinforcement Learning More Difficult Than Short Horizon Reinforcement Learning?cited by 34
  12. 2023An Invitation to Deep Reinforcement Learningcited by 5
3 more
  1. 2024Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory searchcited by 3
  2. 2025Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement Learningcited by 3
  3. 2022Globally optimal control of quantum dynamicscited by 2

Built on by

Not cited yet.