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Altruistic Autonomy: Beating Congestion on Shared Roads
Erdem Bıyık, Daniel Lazar, Ramtin Pedarsani +1
Traffic congestion has large economic and social costs. The introduction of autonomous vehicles can potentially reduce this congestion, both by increasing network throughput and by…
Hierarchical Game-Theoretic Planning for Autonomous Vehicles
Jaime F. Fisac, Eli Bronstein, Elis Stefansson +3
The actions of an autonomous vehicle on the road affect and are affected by those of other drivers, whether overtaking, negotiating a merge, or avoiding an accident. This mutual de…
Batch Active Preference-Based Learning of Reward Functions
Erdem Bıyık, Dorsa Sadigh
Data generation and labeling are usually an expensive part of learning for robotics. While active learning methods are commonly used to tackle the former problem, preference-based…
Efficient and Trustworthy Social Navigation Via Explicit and Implicit Robot-Human Communication
Yuhang Che, Allison M. Okamura, Dorsa Sadigh
In this paper, we present a planning framework that uses a combination of implicit (robot motion) and explicit (visual/audio/haptic feedback) communication during mobile robot navi…
Multi-Agent Generative Adversarial Imitation Learning
Jiaming Song, Hongyu Ren, Dorsa Sadigh +1
Imitation learning algorithms can be used to learn a policy from expert demonstrations without access to a reward signal. However, most existing approaches are not applicable in mu…
Maximizing Road Capacity Using Cars that Influence People
Daniel A. Lazar, Kabir Chandrasekher, Ramtin Pedarsani +1
The emerging technology enabling autonomy in vehicles has led to a variety of new problems in transportation networks, such as planning and perception for autonomous vehicles. Othe…