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12/21/2022
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios
Imitation learning (IL) is a simple and powerful way to use high-quality...
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12/02/2022
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula
ML-based motion planning is a promising approach to produce agents that ...
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10/18/2022
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving
We demonstrate the first large-scale application of model-based generati...
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05/01/2019
An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments
Real-world autonomous vehicles often operate in a priori unknown environ...
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10/13/2018
