Sample-Efficient Learning-Based Dynamic Environment Navigation With Transferring Experience From Optimization-Based Planner
Author:
Affiliation:
1. State Key Laboratory of Robotics and System, Harbin Institute of Technology, Heilongjiang, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/7083369/10561888/10552894.pdf?arnumber=10552894
Reference28 articles.
1. Socially aware motion planning with deep reinforcement learning
2. Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
3. Crowd-Robot Interaction: Crowd-Aware Robot Navigation With Attention-Based Deep Reinforcement Learning
4. Relational Graph Learning for Crowd Navigation
5. Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning
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