6 citations · 6 across the 4 of their papers we have counts for
5 papers
Safety-Regulated Transfer Reinforcement Learning with Adaptive Teacher Guidance
Wenjie Huang, Yang Li, Jingjia Teng +5
We propose Safety-Regulated Adaptive Transfer Reinforcement Learning (SRATRL), a teacher--student framework that combines safety-triggered intervention, safety-adaptive value shapi…
ReIDMamba: Learning Discriminative Features with Visual State Space Model for Person Re-Identification
Hongyang Gu, Qisong Yang, Lei Pu +2
Extracting robust discriminative features is a critical challenge in person re-identification (ReID). While Transformer-based methods have successfully addressed some limitations o…
Human-aligned Safe Reinforcement Learning for Highway On-Ramp Merging in Dense Traffic
Yang Li, Shijie Yuan, Yuan Chang +4
Most reinforcement learning (RL) approaches for the decision-making of autonomous driving consider safety as a reward instead of a cost, which makes it hard to balance the tradeoff…
Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System
Ruining Zhang, Haoran Han, Maolong Lv +2
Extensive utilization of deep reinforcement learning (DRL) policy networks in diverse continuous control tasks has raised questions regarding performance degradation in expansive s…
Reinforcement Learning by Guided Safe Exploration
Qisong Yang, Thiago D. Simão, Nils Jansen +2
Safety is critical to broadening the application of reinforcement learning (RL). Often, we train RL agents in a controlled environment, such as a laboratory, before deploying them…