Local non-cooperative games with principled player selection for scalable motion planning
Game-theoretic motion planners are a powerful tool for the control of interactive multi-agent
robot systems. Indeed, contrary to predict-then-plan paradigms, game-theoretic planners do …
robot systems. Indeed, contrary to predict-then-plan paradigms, game-theoretic planners do …
Distributed Fractional Bayesian Learning for Adaptive Optimization
This paper considers a distributed adaptive optimization problem, where all agents only
have access to their local cost functions with a common unknown parameter, whereas they …
have access to their local cost functions with a common unknown parameter, whereas they …
Strategic Decision-Making in Multi-Agent Domains: A Weighted Potential Dynamic Game Approach
In interactive multi-agent settings, decision-making complexity arises from agents'
interconnected objectives. Dynamic game theory offers a formal framework for analyzing …
interconnected objectives. Dynamic game theory offers a formal framework for analyzing …
Intent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations
Autonomous agents should be able to coordinate with other agents without knowing their
intents ahead of time. While prior work has studied how agents can gather information about …
intents ahead of time. While prior work has studied how agents can gather information about …