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跑的是DQN算法这是运行结果：
Model is controlled by use_NN mode
start simulation with DQN algorithm
map_xdim: 13 map_ydim: 12 state_number: 3
load NN
Traceback (most recent call last):
File "E:\Reinforce…
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## 一言でいうと
マルチタスク学習で発生する勾配の対立(Task1とTask2とで進む勾配が逆方向)を解消する手法の提案。逆方向になる場合、勾配を相手勾配の直行平面(Normal plane)に射影することで計算した競合要素を差し引く(競合要素のみ減衰し他は活かす)。シンプルな手法ながらマルチタスク強化学習の性能を大幅に改善
, which runs fine in terms of training the network, but is ultimately impractical due to excessive checkpoint saving…
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- [ ] [LLM-Agents-Papers/README.md at main · AGI-Edgerunners/LLM-Agents-Papers](https://github.com/AGI-Edgerunners/LLM-Agents-Papers/blob/main/README.md?plain=1)
# LLM-Agents-Papers
## :writing_hand…
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### **1. Quantum-Like Enhancements**
#### **a. Unitary Gate Operations**
- Implement additional quantum gates such as:
- **Pauli Gates (X, Y, Z)**: For flipping states or introducing phase sh…
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Is the process stopping because I requested only 2 ideas to be generated?
I'm also curious about how to obtain the full paper.
I've been waiting for an hour, and the GPT API usage has been stu…
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### What is the feature?
### Description
The current implementation of `BaseModel` in mmengine assumes a single `inputs` parameter of type `torch.Tensor` in the `forward` method:
```python
def…
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Hi, our team would like to cite your paper and compare our approach with your scores for multi-task learning random setting. The Relative scores are displayed in your paper in Figure 4(a), would you b…
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Creating pairs for control and stimulated per perturbation, and to train a model for that specific perturbation requires a substantial amount of cells. Most of the perturbation datasets that contain m…