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**Original article:**
Learning How Pedestrians Navigate: A Deep Inverse Reinforcement Learning Approach
https://par.nsf.gov/servlets/purl/10111828
**PDF URL:**
https://drive.google.com/file/d/…
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https://arxiv.org/pdf/1703.01988.pdf
Deep reinforcement learning methods attain super-human performance in a wide range of environments. Such methods are grossly inefficient, often taking orders of…
leo-p updated
7 years ago
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The result that i get when I search 'reinforcement' on 'https://sotawhat.herokuapp.com/' seems not same as that when I use advance search on arxiv.org. 'https://sotawhat.herokuapp.com/' miss some pape…
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### Describe the bug
Hi, I wish this is not a duplicated issue and I am sorry for my poor English in advance.
**context**
I have used Utterances as commenting service on my Jupyter Book and I jus…
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thank you so much for nice job.
I want to implement one of the algorithms without gradient in this project and compare the results with the algorithms in this project such as actorcritic, dqn ,rei…
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https://doi.org/10.48550/arXiv.2009.14627
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At some point we thinking about having reinforcement learning and/or neuro-evolution-style reinforcement learning examples in ml5. Some references:
With Genetic Algorithms and vanilla JS neural net…
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As user, I organize my PDFs in folders. Example:
```
Related_Work_Collection
├── Quantum_Computing
│ ├── Algorithms
│ │ ├── Quantum_Factorization_Overview.pdf
│ │ └── Grover_Search_I…
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Hello, is there any open source code for this paper Scheduling in Time-Sensitive Networks Using Deep Reinforcement Learning? Also, can you send me a copy of the paper? My school does not have permissi…
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in sac.py
s = torch.tensor([t.s for t in self.replay_buffer]).float().to(device)
Traceback (most recent call last):
File "D:\PycharmProject\Deep-reinforcement-learning-with-pytorch-master\Char09 …