ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2209.09079
  4. Cited By
MSVIPER: Improved Policy Distillation for Reinforcement-Learning-Based
  Robot Navigation

MSVIPER: Improved Policy Distillation for Reinforcement-Learning-Based Robot Navigation

19 September 2022
Aaron M. Roth
Jing Liang
Ram D. Sriram
Elham Tabassi
Dinesh Manocha
ArXivPDFHTML

Papers citing "MSVIPER: Improved Policy Distillation for Reinforcement-Learning-Based Robot Navigation"

3 / 3 papers shown
Title
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision
  Trees
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees
Aaron M. Roth
Jing Liang
Dinesh Manocha
33
8
0
22 Apr 2021
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,672
0
28 Feb 2017
Decentralized Non-communicating Multiagent Collision Avoidance with Deep
  Reinforcement Learning
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning
Yu Fan Chen
Miao Liu
Michael Everett
Jonathan P. How
173
582
0
26 Sep 2016
1