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DI-engine is a unified reinforcement learning (RL) platform for reproducible and scalable RL research. It offers modular pipelines for various RL algorithms, with an emphasis on production-level training and evaluation.
Features
- Supports a wide range of RL algorithms including off-policy and on-policy methods
- Modular and reusable components for flexible experimentation
- Focuses on reproducibility with standardized benchmarks
- Provides distributed training and large-scale deployment tools
- Compatible with Gym, PettingZoo, and custom environments
Project Samples
Categories
Reinforcement Learning FrameworksLicense
Apache License V2.0Follow DI-engine
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