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Skill Transfer via Partially Amortized Hierarchical Planning
To quickly solve new tasks in complex environments, intelligent agents n...
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Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models
The potential benefits of model-free reinforcement learning to real robo...
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Conservative Safety Critics for Exploration
Safe exploration presents a major challenge in reinforcement learning (R...
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Continual Model-Based Reinforcement Learning with Hypernetworks
Effective planning in model-based reinforcement learning (MBRL) and mode...
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Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles
We present Nav2Goal, a data-efficient and end-to-end learning method for...
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LEAF: Latent Exploration Along the Frontier
Self-supervised goal proposal and reaching is a key component for explor...
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Dynamics-Aware Latent Space Reachability for Exploration in Temporally-Extended Tasks
Self-supervised goal proposal and reaching is a key component of efficie...
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Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
Recent works in high-dimensional model-predictive control and model-base...
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One-Shot Informed Robotic Visual Search in the Wild
We consider the task of underwater robot navigation for the purpose of c...
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Catch the Ball: Accurate High-Speed Motions for Mobile Manipulators via Inverse Dynamics Learning
Mobile manipulators consist of a mobile platform equipped with one or mo...
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DIBS: Diversity inducing Information Bottleneck in Model Ensembles
Although deep learning models have achieved state-of-the-art performance...
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Underwater Multi-Robot Convoying using Visual Tracking by Detection
We present a robust multi-robot convoying approach that relies on visual...
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Benchmark Environments for Multitask Learning in Continuous Domains
As demand drives systems to generalize to various domains and problems, ...
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