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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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02/18/2019
Fast Efficient Hyperparameter Tuning for Policy Gradients
The performance of policy gradient methods is sensitive to hyperparamete...
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11/08/2018
Learning from Demonstration in the Wild
Learning from demonstration (LfD) is useful in settings where hand-codin...
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05/27/2018
Contextual Policy Optimisation
Policy gradient methods have been successfully applied to a variety of r...
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05/24/2016
