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Offline Meta-Reinforcement Learning with Advantage Weighting
Massive datasets have proven critical to successfully applying deep lear...
08/13/2020 ∙ by Eric Mitchell, et al. ∙
31
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Higher Order Function Networks for View Planning and Multi-View Reconstruction
We consider the problem of planning views for a robot to acquire images ...
10/04/2019 ∙ by Selim Engin, et al. ∙
6
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Higher-Order Function Networks for Learning Composable 3D Object Representations
We present a method to represent 3D objects using higher order functions...
07/24/2019 ∙ by Eric Mitchell, et al. ∙
0
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QXplore: Q-learning Exploration by Maximizing Temporal Difference Error
A major challenge in reinforcement learning for continuous state-action ...
06/19/2019 ∙ by Riley Simmons-Edler, et al. ∙
4
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Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner
We present a novel method enabling robots to quickly learn to manipulate...
04/05/2019 ∙ by Tarik Tosun, et al. ∙
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Siamese Encoding and Alignment by Multiscale Learning with Self-Supervision
We propose a method of aligning a source image to a target image, where ...
04/04/2019 ∙ by Eric Mitchell, et al. ∙
12
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Q-Learning for Continuous Actions with Cross-Entropy Guided Policies
Off-Policy reinforcement learning (RL) is an important class of methods ...
03/25/2019 ∙ by Riley Simmons-Edler, et al. ∙
0
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