activity
20202023
most citedExploration-efficient Deep Reinforcement Learning with Demonstration Guidance for Robot Control

6 citations · 6 across the 4 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

cs.RO2023

Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards

Zhaorun Chen, Zhuokai Zhao, Tairan He +4

Ensuring safety in Reinforcement Learning (RL), typically framed as a Constrained Markov Decision Process (CMDP), is crucial for real-world exploration applications. Current approa…