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https://github.com/PKU-Alignment/Safe-Policy-Optimization
NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms
https://github.com/PKU-Alignment/Safe-Policy-Optimization
benchmarks constrained-reinforcement-learning reinforcement-learning-algorithms safe safe-reinforcement-learning
Last synced: 2 months ago
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NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms
- Host: GitHub
- URL: https://github.com/PKU-Alignment/Safe-Policy-Optimization
- Owner: PKU-Alignment
- License: apache-2.0
- Created: 2022-06-05T18:08:16.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-20T13:24:58.000Z (3 months ago)
- Last Synced: 2024-03-20T22:53:11.967Z (3 months ago)
- Topics: benchmarks, constrained-reinforcement-learning, reinforcement-learning-algorithms, safe, safe-reinforcement-learning
- Language: Python
- Homepage: https://safe-policy-optimization.readthedocs.io/en/latest/index.html
- Size: 286 MB
- Stars: 281
- Watchers: 6
- Forks: 36
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Lists
- awesome-production-machine-learning - SafePO-Baselines - MARL/Safe-Policy-Optimization.svg?style=social) - SafePO-Baselines is a benchmark repository for safe reinforcement learning algorithms. (Industry Strength Benchmarking and Evaluation)