• search
    search
  • reviewers
    reviewers
  • feeds
    feeds
  • assignments
    assignments
  • settings
  • logout

Hierarchical Reinforcement Learning of Locomotion Policies in Response to Approaching Objects: A Preliminary Study.

Shangqun YuSreehari RammohanKaiyu ZhengGeorge Dimitri Konidaris
Published in: CoRR (2022)
Keyphrases
  • hierarchical reinforcement learning
  • reinforcement learning
  • model free
  • random walk
  • state abstraction
  • mobile robot
  • optimal policy
  • markov model