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11/14/2022
NeurIPS 2022 Competition: Driving SMARTS
Driving SMARTS is a regular competition designed to tackle problems caus...
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06/20/2022
Benchmarking Constraint Inference in Inverse Reinforcement Learning
When deploying Reinforcement Learning (RL) agents into a physical system...
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06/02/2022
Learning Soft Constraints From Constrained Expert Demonstrations
Inverse reinforcement learning (IRL) methods assume that the expert data...
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10/01/2021
Multi-lane Cruising Using Hierarchical Planning and Reinforcement Learning
Competent multi-lane cruising requires using lane changes and within-lan...
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10/01/2021
How To Not Drive: Learning Driving Constraints from Demonstration
We propose a new scheme to learn motion planning constraints from human ...
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10/01/2021
Motion Planning for Autonomous Vehicles in the Presence of Uncertainty Using Reinforcement Learning
Motion planning under uncertainty is one of the main challenges in devel...
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01/07/2021
CoachNet: An Adversarial Sampling Approach for Reinforcement Learning
Despite the recent successes of reinforcement learning in games and robo...
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01/24/2020