Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Authors: Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Christopher D. Manning, Chelsea Finn | Published: 2023-05-29 | Updated: 2024-07-29
Reward Mechanism Design
RRHF: Rank Responses to Align Language Models with Human Feedback without tears
Authors: Zheng Yuan, Hongyi Yuan, Chuanqi Tan, Wei Wang, Songfang Huang, Fei Huang | Published: 2023-04-11 | Updated: 2023-10-07
IronForge: An Open, Secure, Fair, Decentralized Federated Learning
Authors: Guangsheng Yu, Xu Wang, Caijun Sun, Qin Wang, Ping Yu, Wei Ni, Ren Ping Liu, Xiwei Xu | Published: 2023-01-07
Ares: A System-Oriented Wargame Framework for Adversarial ML
Authors: Farhan Ahmed, Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati | Published: 2022-10-24
Blockchain and Machine Learning for Fraud Detection: A Privacy-Preserving and Adaptive Incentive Based Approach
Authors: Tahmid Hasan Pranto, Kazi Tamzid Akhter Md Hasib, Tahsinur Rahman, AKM Bahalul Haque, A. K. M. Najmul Islam, Rashedur M. Rahman | Published: 2022-10-23
Reinforcement Learning for Hardware Security: Opportunities, Developments, and Challenges
Authors: Satwik Patnaik, Vasudev Gohil, Hao Guo, Jeyavijayan, Rajendran | Published: 2022-08-29
Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning
Authors: Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti | Published: 2022-08-29
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security
Authors: Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe | Published: 2020-09-14 | Updated: 2024-04-26
Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning
Authors: Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Yi Ouyang, I-Te Danny Hung, Chin-Hui Lee, Xiaoli Ma | Published: 2020-02-20
Pseudo Random Number Generation: a Reinforcement Learning approach
Authors: Luca Pasqualini, Maurizio Parton | Published: 2019-12-15