Published May 20, 2024 | Version v3
Software Open

Reinforcement Learning for Robot Motion Planning Facilitated by Implicit Behavior Cloning and Dynamic Movement Primitive (IBC-DMP RL)

  • 1. The University of British Columbia

Contributors

Contact person:

  • 1. ROR icon Eindhoven University of Technology

Description

This dataset contains the programs to train and test the implicit behavior cloning (IBC) dynamic movement primitive (DMP) reinforcement learning (RL) agent for robot motion planning. It is associated with the following publication:

Zhang, Zengjie, Jayden Hong, Amir M. Soufi Enayati, and Homayoun Najjaran. "Using Implicit Behavior Cloning and Dynamic Movement Primitive to Facilitate Reinforcement Learning for Robot Motion Planning." IEEE Transactions on Robotics (2024).

See ReadMe.md in the zip file for installation and running. Refer to the publication for technical details.

Files

IBC-DMP.zip

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Additional details

Software

Programming language
Python