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Overcoming Exploration in Reinforcement Learning with Demonstrations
Ashvin Nair, Bob McGrew, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel
8 pages, ICRA 2018
https://arxiv.org/abs/1709.10089
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Go to the `docs/source/usage/tutorials` and add separate `.md` files to explain the following:
- [x] Using A2C (@Darshan-ko )
- [ ] Using PPO1
- [x] Using VPG (@Devanshu24 )
- [ ] Using DQN(s)
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## Keyword: sgd
There is no result
## Keyword: optimization
### A Model-Constrained Tangent Manifold Learning Approach for Dynamical Systems
- **Authors:** Authors: Hai Van Nguyen, Tan Bui-Thanh
-…
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Hi Denny,
Thanks for this wonderful resource. It's been hugely helpful. Can you say what your results are when training the DQN solution? I've been unable to reproduce the results of the DeepMind p…
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We need to convert keras.io examples to work with Keras 3.
This involves two stages:
## Stage 1: tf.keras backwards compatibility check
Keras 3 is intended as a drop-in replacement for tf.ker…
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Post a link for a "possibility" reading of your own on the topic of Reinforcement Learning [for week 8], accompanied by a 300-400 word reflection that: 1) briefly summarizes the article (e.g., as we d…
lkcao updated
2 years ago
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## 一言でいうと
今まで出てきたDQNの手法を組み合わせて'Atari 2600 benchmark'でState of artsを達成
### 論文リンク
https://arxiv.org/pdf/1710.02298.pdf
### 著者/所属機関
Matteo Hessel/DeepMind
Joseph Modayil/DeepMind
Hado va…
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Whereas NumPy correctly uses the `int64` dtype, Aesara doesn't until it's told to:
```python
>>> np.array(- (2**32))
array(-4294967296, dtype=int64)
>>> at.constant(- (2**32))
TensorConstant{…
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### 🐛 Bug
Get a device mismatch when attempting to use PPO with multiinput dict.
This was when calling:
```
with torch_no_grad():
actions = myppo.policy._predict(inp_dict, de…