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2020-09
Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression
gradSim: Differentiable simulation for system identification and visuomotor control
2020-07
La-MAML: Look-ahead Meta Learning for Continual Learning
Perceptual Generative Autoencoders
2020-05
∇SLAM: Dense SLAM meets Automatic Differentiation
2020-04
MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map
2020-03
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling
2020-02
Curriculum in Gradient-Based Meta-Reinforcement Learning.
Generating Automatic Curricula via Self-Supervised Active Domain Randomization.
2020-01
Look-ahead Meta Learning for Continual Learning
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents
The AI Driving Olympics at NeurIPS 2018
2019-10
gradSLAM: Dense SLAM meets Automatic Differentiation.
2019-09
Kotlin∇: A shape-safe DSL for differentiable programming
2019-08
Deep Active Localization
2019-05
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies
2019-04
Active Domain Randomization.
2019-03
Deep Active Localization.
2019-01
The AI Driving Olympics: An Accessible Robot Learning Benchmark
2018-09
Safe Nonlinear Trajectory Generation for Parallel Autonomy With a Dynamic Vehicle Model
2018-06
Local Positioning System Using UWB Range Measurements for an Unmanned Blimp
2018-05
Learning Steering Bounds for Parallel Autonomous Systems
Autonomous Vehicle Navigation in Rural Environments Without Detailed Prior Maps
2018-04
Geometric Consistency for Self-Supervised End-to-End Visual Odometry
2018-01
Navigation for Underwater Vehicles
Probabilistic cooperative mobile robot area coverage and its application to autonomous seabed mapping
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