10 citations · 33 across the 12 of their papers we have counts for
12 papers
Effect of Adaptation Rate and Cost Display in a Human-AI Interaction Game
Jason T. Isa, Bohan Wu, Qirui Wang +4
As interactions between humans and AI become more prevalent, it is critical to have better predictors of human behavior in these interactions. We investigated how changes in the AI…
Distribution-Free Guarantees for Systems with Decision-Dependent Noise
Heling Zhang, Lillian J. Ratliff, Roy Dong
In many real-world dynamical systems, obtaining precise models of system uncertainty remains a challenge. It may be difficult to estimate noise distributions or robustness bounds,…
Consistent Conjectural Variations Equilibrium: Characterization & Stability for a Class of Continuous Games
Daniel J. Calderone, Benjamin J. Chasnov, Samuel A. Burden +1
Leveraging tools from the study of linear fractional transformations and algebraic Riccati equations, a local characterization of consistent conjectural variations equilibrium is g…
Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula
Boling Yang, Liyuan Zheng, Lillian J. Ratliff +2
Autocurricular training is an important sub-area of multi-agent reinforcement learning~(MARL) that allows multiple agents to learn emergent skills in an unsupervised co-evolving sc…
Human adaptation to adaptive machines converges to game-theoretic equilibria
Benjamin J. Chasnov, Lillian J. Ratliff, Samuel A. Burden
Adaptive machines have the potential to assist or interfere with human behavior in a range of contexts, from cognitive decision-making to physical device assistance. Therefore it i…
Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games
Arnab Maiti, Kevin Jamieson, Lillian J. Ratliff
We study the sample complexity of identifying an approximate equilibrium for two-player zero-sum matrix games. That is, in a sequence of repeated game plays, how many r…