Reinforcement Learning for Robot Motion Planning Facilitated by Implicit Behavior Cloning and Dynamic Movement Primitive (IBC-DMP RL)
Reinforcement Learning for Robot Motion Planning Facilitated by Implicit Behavior Cloning and Dynamic Movement Primitive (IBC-DMP RL)
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.
- Eindhoven University of Technology Netherlands
- University of British Columbia Canada
reinforcement learning, human demonstration, imitation learning, motion planning, robot manipulation
reinforcement learning, human demonstration, imitation learning, motion planning, robot manipulation
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!