1 citations · 1 across the 5 of their papers we have counts for
Showing cs.ROShow all
2 papers · 1 filter
cs.RO2026
VLM-AR3L: Vision-Language Models for Absolute and Relative Rewards in Reinforcement Learning
Kuan-Chen Chen, Winston Chen, Wei-Fang Sun +1
Designing effective reward functions remains a major challenge in reinforcement learning (RL), particularly in open-ended environments where task goals are abstract and difficult t…
cs.RO2024★ 1 cited
DriveEnv-NeRF: Exploration of A NeRF-Based Autonomous Driving Environment for Real-World Performance Validation
Mu-Yi Shen, Chia-Chi Hsu, Hao-Yu Hou +5
In this study, we introduce the DriveEnv-NeRF framework, which leverages Neural Radiance Fields (NeRF) to enable the validation and faithful forecasting of the efficacy of autonomo…