Paper-Conference

LaTeRF: Label and Text Driven Object Radiance Fields
Obtaining 3D object representations is important for creating photo-realistic simulators and collecting assets for AR/VR applications. …
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Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks
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A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction
Temporal patterns (how vehicles behave in our observed past) underline our reasoning of how people drive on the road, and can explain …
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HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling
Modeling multi-modal high-level intent is important for ensuring diversity in trajectory prediction. Existing approaches explore the …
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Learning Interactive Driving Policies via Data-driven Simulation
Data-driven simulators promise high data-efficiency for driving policy learning. When used for modelling interactions, this …
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VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles
Simulation has the potential to transform the development of robust algorithms for mobile agents deployed in safety-critical scenarios. …
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Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
Reinforcement learning (RL) for continuous control typically employs distributions whose support covers the entire action space. In …
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Strength Through Diversity: Robust Behavior Learning via Mixture Policies
Efficiency in robot learning is highly dependent on hyperparameters. Robot morphology and task structure differ widely and finding the …
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GROUNDED: The Localizing Ground Penetrating Radar Evaluation Dataset
Mapping and localization using surface features is prone to failure due to environment changes such as inclement weather. Recently, …
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Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space
Learning competitive behaviors in multi-agent settings such as racing requires long-term reasoning about potential adversarial …
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