remove .pyc file and update readme

README.md

@@ -2,6 +2,69 @@
 
 A new chip placement method based on visual representation learning. 
 
+###  Publication
+Lai, Yao, Yao Mu, and Ping Luo. "Maskplace: Fast chip placement via reinforced visual representation learning." Advances in Neural Information Processing Systems 35 (2022): 24019-24030. (NeurIPS 2022, **spotlight**)
+
+[paper](https://arxiv.org/pdf/2211.13382.pdf)
+
+
+### Usage
+
+You can start easily by using the following script.
+
+```
+cd maskplace
+python PPO2.py
+```
+
+### Parameter
+
+- **gamma** Decay factor.
+- **seed** Random seed.
+- **disable_tqdm** Whether to disable the progress bar.
+- **lr** Learning rate.
+- **log-interval** Interval between training status logs.
+- **pnm** Number of place modules for each placement trajectory. 
+- **benchmark** Circuit benchmark.
+- **soft_coefficient** Whether to constriant the actions based on the wiremask.
+- **batch_size** Batch size.
+- **is_test** Testing mode based on the trained agent.
+- **save_fig** Whether to save placement figures.
+
+
+### Benchmark
+The repo has provided the benchmark *adaptec1* and *ariane*. For other benchmarks, you can download them by the following the link:
+
+http://www.cerc.utexas.edu/~zixuan/ispd2005dp.tar.xz
+
+
+### Dependency
+- [Python](https://www.python.org/) >= 3.9
+
+- [Pytorch](https://pytorch.org/) >= 1.10
+
+  - Other versions may also work, but not tested
+
+- [gym](https://www.gymlibrary.dev/index.html) >= 0.21.0
+- [matplotlib](https://matplotlib.org/) >= 3.7.1
+- [tqdm](https://tqdm.github.io/)
+- [protobuf](https://pypi.org/project/protobuf/) (for benchmark *ariane*)
+
+### Citation
+If you find our paper/code useful in your research, please cite
+
+```
+@article{lai2022maskplace,
+  title={Maskplace: Fast chip placement via reinforced visual representation learning},
+  author={Lai, Yao and Mu, Yao and Luo, Ping},
+  journal={Advances in Neural Information Processing Systems},
+  volume={35},
+  pages={24019--24030},
+  year={2022}
+}
+```
+
+ 
 ### The placement process animation
 
 Benchmark: Bigblue3