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Reinforcement Learning for Robot Navigation with Adaptive Forward
  Simulation Time (AFST) in a Semi-Markov Model

Reinforcement Learning for Robot Navigation with Adaptive Forward Simulation Time (AFST) in a Semi-Markov Model

13 August 2021
Yuán Chen
Ruosong Ye
Ziyang Tao
Hongjian Liu
Guangda Chen
Jie Peng
Jun Ma
Yu Zhang
Jianmin Ji
Yanyong Zhang
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Papers citing "Reinforcement Learning for Robot Navigation with Adaptive Forward Simulation Time (AFST) in a Semi-Markov Model"

4 / 4 papers shown
Title
Where to go next: Learning a Subgoal Recommendation Policy for
  Navigation Among Pedestrians
Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians
B. Brito
Michael Everett
Jonathan P. How
Javier Alonso-Mora
81
57
0
25 Feb 2021
Motion Planning Among Dynamic, Decision-Making Agents with Deep
  Reinforcement Learning
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
Michael Everett
Yu Fan Chen
Jonathan P. How
146
509
0
04 May 2018
Emergence of Locomotion Behaviours in Rich Environments
Emergence of Locomotion Behaviours in Rich Environments
N. Heess
TB Dhruva
S. Sriram
Jay Lemmon
J. Merel
...
Tom Erez
Ziyun Wang
S. M. Ali Eslami
Martin Riedmiller
David Silver
143
928
0
07 Jul 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
189
583
0
26 Sep 2016
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