Jun 10, 2013 · The method detailed in this study allows policy sharing between cooperative agents by means merging their trees into a hyper-structure, instead of forcefully ...

The method detailed in this study allows policy sharing between cooperative agents by means merging their trees into a hyper-structure, instead of forcefully ...

The method detailed in this study allows policy sharing between cooperative agents by means merging their trees into a hyper-structure, instead of forcefully ...

Yu-Jen Chen, Kao-Shing Hwang , Wei-Cheng Jiang: Policy sharing between multiple mobile robots using decision trees. Inf. Sci. 234: 112-120 (2013).

In D-MPDM each robot separately performs selec- tion of a simple policy through a deep forward simulation which includes the policy choices of the other robots ...

Policy sharing between multiple mobile robots using decision trees. Chen, Y.; Hwang, K.; Jiang, W. Information Sciences 234: 112-120. 2013. ISSN/ISBN: 0020 ...

Sep 19, 2022 · We demonstrate that MSVIPER results in efficient decision trees and can accurately mimic the behavior of the expert policy. Moreover, we present ...

This formulation yields a policy generation framework for multi-robot systems that can combine controllers for a va- riety of objectives while implicitly ...

This thesis focuses on path planning with formation forming of multiple mobile robots for object transportation. ... is computed by using two Q-functions and ...

We propose a novel approach called Hardware Conditioned. Policies where we train a universal policy conditioned on a vector representation of robot hardware. We ...