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End-to-End Learning of Keypoint Representations for Continuous Control from Images
In many control problems that include vision, optimal controls can be in...
06/15/2021 ∙ by Rinu Boney, et al. ∙
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Learning to Play Imperfect-Information Games by Imitating an Oracle Planner
We consider learning to play multiplayer imperfect-information games wit...
12/22/2020 ∙ by Rinu Boney, et al. ∙
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RealAnt: An Open-Source Low-Cost Quadruped for Research in Real-World Reinforcement Learning
Current robot platforms available for research are either very expensive...
11/05/2020 ∙ by Rinu Boney, et al. ∙
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Learning to Drive Small Scale Cars from Scratch
We consider the problem of learning to drive low-cost small scale cars u...
08/03/2020 ∙ by Ari Viitala, et al. ∙
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Regularizing Model-Based Planning with Energy-Based Models
Model-based reinforcement learning could enable sample-efficient learnin...
10/12/2019 ∙ by Rinu Boney, et al. ∙
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Regularizing Trajectory Optimization with Denoising Autoencoders
Trajectory optimization with learned dynamics models can often suffer fr...
03/28/2019 ∙ by Rinu Boney, et al. ∙
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Semi-Supervised Few-Shot Learning with Prototypical Networks
We consider the problem of semi-supervised few-shot classification (when...
11/29/2017 ∙ by Rinu Boney, et al. ∙
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Recurrent Ladder Networks
We propose a recurrent extension of the Ladder networks whose structure ...
07/28/2017 ∙ by Isabeau Prémont-Schwarz, et al. ∙
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