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Branka Mirchevska

2 accepted papers

2021

Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways

ICRA 2021poster

Well-established optimization-based methods can guarantee an optimal trajectory for a short optimization horizon, typically no longer than a few seconds. As a result, choosing the optimal trajectory for this short horizon may still result in a sub-optimal long-term solution. At the same time, the re…

Cited by 18SourceScholar
2019

Dynamic Input for Deep Reinforcement Learning in Autonomous Driving

IROS 2019poster

In many real-world decision making problems, reaching an optimal decision requires taking into account a variable number of objects around the agent. Autonomous driving is a domain in which this is especially relevant, since the number of cars surrounding the agent varies considerably over time and…

Cited by 95SourceScholar