Update README.md

README.md

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 # Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning
 
-[[arxiv]](https://arxiv.org/abs/2103.17258)
+[[arxiv]](https://arxiv.org/abs/2103.17258), Accepted at NeurIPS 2021.
 
 This codebase includes inference-based off-policy algorithms, both KL control ([SAC](https://arxiv.org/abs/1801.01290)) and EM control ([MPO](https://arxiv.org/abs/1806.06920), [AWR](https://arxiv.org/abs/1910.00177), [AWAC](https://arxiv.org/abs/2006.09359)) methods.
 
 If you use this codebase for your research, please cite the paper:
 ```
-@article{furuta2021inference,
+@inproceedings{furuta2021inference,
   title={Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning},
   author={Hiroki Furuta and Tadashi Kozuno and Tatsuya Matsushima and Yutaka Matsuo and Shixiang Shane Gu},
-  journal={arXiv preprint arXiv:arXiv:2103.17258},
+  booktitle = {Advances in Neural Information Processing Systems},
   year={2021}
 }
 ```