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### Required prerequisites
- [X] I have read the documentation .
- [X] I have searched the [Issue Tracker](https://github.com/PKU-Alignment/omnisafe/issues) and [Discussions](https://github.com/PKU-A…
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## 一言でいうと
returnベースの方策オフ強化学習における安全で効率的なアルゴリズムの提案。安全とは、方策の"オフ具合"に対して性能がロバストであること。効率的とは、学習効率が良いこと。収束性の保証と実験を与えた。NIPS 2016に通っていて、真面目に解析を読むのはつらそう。
### 論文リンク
https://arxiv.org/abs/1606.02647
### 著者…
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논문 리뷰 후보
- [ ] [Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments](http://papers.nips.cc/paper/7217-multi-agent-actor-critic-for-mixed-cooperative-competitive-environments)
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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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First, hands down, amazing work. Serving as a baseline, I see a possible improvement, if someone wants to implement it:
- The n-step return, as it is, is biased (as you are using old off-policy sam…
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A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning. (arXiv:2101.06778v1 [cs.RO])
https://ift.tt/3sEGmMH
Autonomous vehicles need to handle various tra…
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if the Mathematical proof in the paper Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk can support the code of cppo in this project? I can not understand the variable cv…
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MultiAgent RL
## 문제 설정
- 협동 => chase
- 쫒는 애들은 MARL
- 도망치는 애들은 룰기반
- combat? 싸움 알고리즘?
- 평가? 룰기반 vs MARL 에이전트
잡는게 더 쉽다
축구는 적합한 상황이 아님. 패스 정도...
## 학습
방법론
- centralized
- de…
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Hi,bro,
Thank you so much for your contributions to offline safe reinforcement learning.
Firstly, I close the wandb logger. And when I run the code such as train_cdt by `python .\examples\train\…