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R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics
IEEE Real-Time Systems Symposium (RTSS), 2023
29 August 2023
Zexin Li
Aritra Samanta
Yufei Li
Andrea Soltoggio
Hyoseung Kim
Cong Liu
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Papers citing
"R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics"
6 / 6 papers shown
CryptoSRAM: Enabling High-Throughput Cryptography on MCUs via In-SRAM Computing
Jingyao Zhang
Elaheh Sadredini
196
0
0
26 Sep 2025
Your Compiler is Backdooring Your Model: Understanding and Exploiting Compilation Inconsistency Vulnerabilities in Deep Learning Compilers
Simin Chen
Jinjun Peng
Yixin He
Junfeng Yang
Baishakhi Ray
SILM
ELM
341
3
0
14 Sep 2025
Knowledge capture, adaptation and composition (KCAC): A framework for cross-task curriculum learning in robotic manipulation
Xinrui Wang
Yan Jin
445
0
0
15 May 2025
DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model
Chao Gao
Sai Qian Zhang
ALM
434
9
0
08 Apr 2024
Genie: Smart ROS-based Caching for Connected Autonomous Robots
Zexin Li
Soroush Bateni
Cong Liu
296
1
0
29 Feb 2024
PolicyCleanse: Backdoor Detection and Mitigation in Reinforcement Learning
IEEE International Conference on Computer Vision (ICCV), 2022
Junfeng Guo
Ang Li
Cong Liu
AAML
608
26
0
08 Feb 2022
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