most citedA Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization

5 citations · 9 across the 2 of their papers we have counts for

collaborators

2 papers

cs.RO2022★ 4 cited

Rationale-aware Autonomous Driving Policy utilizing Safety Force Field implemented on CARLA Simulator

Ho Suk, Taewoo Kim, Hyungbin Park +3

Despite the rapid improvement of autonomous driving technology in recent years, automotive manufacturers must resolve liability issues to commercialize autonomous passenger car of…

cs.LG2022★ 5 cited

A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization

Pamul Yadav, Ashutosh Mishra, Junyong Lee +1

Deep Reinforcement Learning (DRL) aims to create intelligent agents that can learn to solve complex problems efficiently in a real-world environment. Typically, two learning goals:…