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What optimization framework can this method be applied? What the difference with supervised learning, and Deep Reinforcement Learning?
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### List of algorithms
- VPG: Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning (IROS2018) [paper](https://vpg.cs.princeton.edu/paper.pdf)
- DIPN: Deep…
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🚨Please review the [Troubleshooting](../#troubleshooting) section
before reporting any issue. Don't forget to check also the current issues to
avoid duplicates.
### Subject of the issue
Describe…
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https://arxiv.org/abs/1805.12114
- Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine
- Submitted on 30 May 2018
- NIPS `Data-Efficient Model-based Reinforcement Learning with Deep Pr…
TMats updated
6 years ago
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Hello,
I would like to know what you think about having some standalone implementations as functions that take in the environment and other parameters and return the trained policy.
Here an examp…
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[video](https://www.youtube.com/watch?v=HmD2x_WYfh8&t=581s) on the basics
Car provided and its features
O…
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Can not run Deep-Reinforcement-Learning-Hands-On/Chapter03/03_atari_gan.py due to np.isscalar assertion
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at
python grl_train.py
Prepare Chitchat data in ./grl_data/
Tokenizing data in ./grl_data/chitchat.train.answer
Tokenizing data in ./grl_data/chitchat.train.query
Tokenizing data in ./grl_data/…
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Hi,
Is Deep Q Learning (Reinforcement Learning) supported by SciSharp? Because I can't find any example.
Thanks!
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https://github.com/dotnet/TorchSharp
https://github.com/dotnet/TorchSharp/discussions/334#discussioncomment-1258501
Apply the Deep-MAT-Deformation using Torchsharp on Godot (TorchSharp works on …