11 citations · 18 across the 7 of their papers we have counts for
7 papers
Towards Modeling and Influencing the Dynamics of Human Learning
Ran Tian, Masayoshi Tomizuka, Anca Dragan +1
Humans have internal models of robots (like their physical capabilities), the world (like what will happen next), and their tasks (like a preferred goal). However, human internal m…
Negotiation-Aware Reachability-Based Safety Verification for AutonomousDriving in Interactive Scenarios
Ran Tian, Anjian Li, Masayoshi Tomizuka +1
Safety assurance is a critical yet challenging aspect when developing self-driving technologies. Hamilton-Jacobi backward-reachability analysis is a formal verification tool for ve…
Learning Human Rewards by Inferring Their Latent Intelligence Levels in Multi-Agent Games: A Theory-of-Mind Approach with Application to Driving Data
Ran Tian, Masayoshi Tomizuka, Liting Sun
Reward function, as an incentive representation that recognizes humans' agency and rationalizes humans' actions, is particularly appealing for modeling human behavior in human-robo…
Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory
Ran Tian, Liting Sun, Masayoshi Tomizuka
Classical game-theoretic approaches for multi-agent systems in both the forward policy design problem and the inverse reward learning problem often make strong rationality assumpti…
Beating humans in a penny-matching game by leveraging cognitive hierarchy theory and Bayesian learning
Ran Tian, Nan Li, Ilya Kolmanovsky +1
It is a long-standing goal of artificial intelligence (AI) to be superior to human beings in decision making. Games are suitable for testing AI capabilities of making good decision…
Adaptive Game-Theoretic Decision Making for Autonomous Vehicle Control at Roundabouts
Ran Tian, Sisi Li, Nan Li +3
In this paper, we propose a decision making algorithm for autonomous vehicle control at a roundabout intersection. The algorithm is based on a game-theoretic model representing the…
Reference Governor Strategies for Vehicle Rollover Avoidance
Ricardo Bencatel, Anouck Girard, Ilya Kolmanovsky
The paper addresses the problem of vehicle rollover avoidance using reference governors applied to modify the driver steering input in vehicles with an active steering system. Seve…