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Vinit James

2 accepted papers

2020

Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving

ICRA 2020poster

General-purpose planning algorithms for automated driving combine mission, behavior, and local motion planning. Such planning algorithms map features of the environment and driving kinematics into complex reward functions. To achieve this, planning experts often rely on linear reward functions. The…

Cited by 12SourceScholar
2019

Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving

IROS 2019poster

Behavior and motion planning play an important role in automated driving. Traditionally, behavior planners instruct local motion planners with predefined behaviors. Due to the high scene complexity in urban environments, unpredictable situations may occur in which behavior planners fail to match pre…

Cited by 71SourceScholar