46 citations · 203 across the 34 of their papers we have counts for
34 papers
Responsibility in Multi-Agent Sequential Decision-Making: Comparing Human Judgments to Formal Models of Causal Attribution
Nripsuta Ani Saxena, Stelios Triantafyllou, Goran Radanović
With the growing adoption of artificial intelligence in high-stakes decision-making, identifying the causes of outcomes--particularly failures--and determining who is responsible h…
CONTRA: Red-Teaming Configurations of Personalizable Agents
Jonathan Nöther, Adish Singla, Goran Radanovic
Recent tools such as OpenClaw have extended the capabilities of LLM-based agents from simple dialog-based systems to fully autonomous agents. These systems allow personalization of…
MaMa: A Game-Theoretic Approach for Designing Safe Agentic Systems
Jonathan Nöther, Adish Singla, Goran Radanovic
LLM-based multi-agent systems have demonstrated impressive capabilities, but they also introduce significant safety risks when individual agents fail or behave adversarially. In th…
Sparse Offline Reinforcement Learning with Corruption Robustness
Nam Phuong Tran, Andi Nika, Goran Radanovic +2
We investigate robustness to strong data corruption in offline sparse reinforcement learning (RL). In our setting, an adversary may arbitrarily perturb a fraction of the collected…
Benchmarking the Robustness of Agentic Systems to Adversarially-Induced Harms
Jonathan Nöther, Adish Singla, Goran Radanovic
Ensuring the safe use of agentic systems requires a thorough understanding of the range of malicious behaviors these systems may exhibit. In this paper, we evaluate the robustness…
On Corruption-Robustness in Performative Reinforcement Learning
Vasilis Pollatos, Debmalya Mandal, Goran Radanovic
In performative Reinforcement Learning (RL), an agent faces a policy-dependent environment: the reward and transition functions depend on the agent's policy. Prior work on performa…