31 citations · 109 across the 28 of their papers we have counts for
9 papers · 1 filter
Temporally Interpretable Differentiable Decision Trees
Eisuke Hirota, Aarav Sane, Rohan Paleja
Interpretability offers a solution to safe autonomy by providing transparency into an agent's underlying decision-making model. Within sequential-decision making tasks, differentia…
Reactive Real-Time Flow Policies via Asynchronous Distribution Alignment
Moritz Zoellner, Reece O'Mahoney, Ioannis Havoutis +1
Generalist robot policies such as vision-language-action models (VLAs) have achieved remarkable generalization, but their inference delays can conflict with the demands of real-tim…
Mitigating Retaliatory Algorithmic Collusion in Repeated Games
Karthik Sivachandran, Rohan Paleja
Reinforcement learning agents trained to maximize their own reward in repeated interactions can converge to supra-competitive outcomes resembling explicit collusion, without commun…
Composing Learned Robot Behaviors with Temporal Logic at Runtime
Moritz Zoellner, Anastasios Manganaris, Ahmed H. Qureshi +1
Executing Linear Temporal Logic (LTL) instructions with learned robot policies faces two practical challenges: demonstrations may cover individual behaviors without containing the…
Temporal Logic Guidance for Action-Only Diffusion Policies with World Models
Moritz Zoellner, Anastasios Manganaris, Rohan Paleja
Diffusion policies enable multimodal robot behavior but offer limited ability to choose among behavior modes at inference time, even though such control is desirable in human-robot…
Heterogeneous Policy Networks for Composite Robot Team Communication and Coordination
Esmaeil Seraj, Rohan Paleja, Luis Pimentel +7
High-performing human-human teams learn intelligent and efficient communication and coordination strategies to maximize their joint utility. These teams implicitly understand the d…
Differentiable Belief-based Opponent Shaping
Aarav G Sane, Karthik Sivachandran, Rohan Paleja
Human coordination often relies on the ability to influence the beliefs of others through strategic action. In multi-agent reinforcement learning, opponent shaping attempts to repl…
Event-Grounded Sparse Autoencoders for Vision-Language-Action Policies
Xinchen Jin, Aditya Chatterjee, Pranav Kumar +1
Vision-Language-Action (VLA) policies translate language and visual inputs into robot actions, where their hidden representations directly shape closed-loop behavior. However, mech…
Beyond Partner Diversity: An Influence-Based Team Steering Framework for Zero-Shot Human-Machine Teaming
Wei Sheng, Rohan Paleja
While AI agents are rapidly advancing from isolated tools to interactive collaborators, data-driven human-machine teaming (HMT) methods remain costly in their reliance on human int…