42 citations · 43 across the 4 of their papers we have counts for
4 papers
Taxonomy, Evaluation and Exploitation of IPI-Centric LLM Agent Defense Frameworks
Zimo Ji, Xunguang Wang, Zongjie Li +6
Large Language Model (LLM)-based agents with function-calling capabilities are increasingly deployed, but remain vulnerable to Indirect Prompt Injection (IPI) attacks that hijack t…
Confident Natural Policy Gradient for Local Planning in -realizable Constrained MDPs
Tian Tian, Lin F. Yang, Csaba Szepesvári
The constrained Markov decision process (CMDP) framework emerges as an important reinforcement learning approach for imposing safety or other critical objectives while maximizing c…
Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions
Tian Tian, Kenny Young, Richard S. Sutton
Value iteration (VI) is a foundational dynamic programming method, important for learning and planning in optimal control and reinforcement learning. VI proceeds in batches, where…
MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments
Kenny Young, Tian Tian
The Arcade Learning Environment (ALE) is a popular platform for evaluating reinforcement learning agents. Much of the appeal comes from the fact that Atari games demonstrate aspect…