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After reading your ICLR_2023 paper, **_Constrained Hierarchical Deep Reinforcement Learning with Differentiable Formal Specifications_**, I am very interested in it!
However, this project only show…
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A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning. (arXiv:2101.06778v1 [cs.RO])
https://ift.tt/3sEGmMH
Autonomous vehicles need to handle various tra…
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![image](https://user-images.githubusercontent.com/1320252/125286221-243f1400-e34e-11eb-81ba-20228537e208.png)
Appetizer for 3D, Neural rendering with GAN, GIRAFFE, CVPR2021 best paper
- https://a…
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Hi, I really loved your paper Escape Room: A Configurable Testbed for Hierarchical Reinforcement Learning and am looking to use your environments in some research I am doing.
I am a bit confused …
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Hi,
This is a meaningful work to combine imitation learning and reinforcement learning in a hierarchical architecture to solve Montezuma’s Revenge.
I successfully run the code to train hybrid_rl_il_…
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and daily notation.
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The HTM hierarchy has been implemented in the balancer project. Feedback commands have not been tested on any results yet. An Issue with the current design (commit 51b2037db9faa75eb0501dc670202b5491f0…
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Below are some places to look at to see what kinds of topics should be covered. Comment below for what you think should be covered in the series of videos. Topics can range from simple to complex.
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**Description:** The problem of removing unnecessary code (aka software debloat) is relevant and challenging [1]. Hierarchical Delta Debugging (HDD) is a useful technique for minimizing all failure-…