Toronto Intelligent Systems Lab
Toronto Intelligent Systems Lab
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Daniela Rus
Latest Publications
Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation
GROUNDED: A Localizing Ground Penetrating Radar Evaluation Dataset for Learning to Localize in Inclement Weather
Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving
Solving Continuous Control via Q-Learning
MapLite 2.0: Online HD Map Inference Using a Prior SD Map
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Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks
A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction
Learning Interactive Driving Policies via Data-driven Simulation
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles
Learning An Explainable Trajectory Generator Using The Automaton Generative Network (AGN)
Sensitivity-Informed Provable Pruning of Neural Networks
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
Strength Through Diversity: Robust Behavior Learning via Mixture Policies
GROUNDED: The Localizing Ground Penetrating Radar Evaluation Dataset
Vehicle Trajectory Prediction Using Generative Adversarial Network with Temporal Logic Syntax Tree Features
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space
Differentiable Logic Layer for Rule Guided Trajectory Prediction
Deep Context Maps: Agent Trajectory Prediction using Location-specific Latent Maps
Deep Orientation Uncertainty Learning based on a Bingham Loss
Autonomous Navigation in Inclement Weather based on a Localizing Ground Penetrating Radar
Learning Robust Control Policies for End-to-End Autonomous Driving from Data-Driven Simulation
MapLite: Autonomous Intersection Navigation without a Detailed Prior Map
Infrastructure-free NLoS Obstacle Detection for Autonomous Cars
Range-based Cooperative Localization with Nonlinear Observability Analysis
Probabilistic Risk Metrics for Navigating Occluded Intersections
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds
ShadowCam: Real-Time Detection of Moving Obstacles behind a Corner for Autonomous Vehicles
Sampling-Based Approximation Algorithms for Reachability Analysis with Provable Guarantees
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