This A3C reinforcement learning code is implemented for tensorflow 2.0 and it is focused to demonstrate the implementation of a multi-threading agent (A3C) on [Grid2Op](https://github.com/rte-france/Grid2Op) environment.
- Updated
Jun 7, 2020 - Python
This A3C reinforcement learning code is implemented for tensorflow 2.0 and it is focused to demonstrate the implementation of a multi-threading agent (A3C) on [Grid2Op](https://github.com/rte-france/Grid2Op) environment.
Source code for the papers: RL for Mitigating Cascading Failures: Targeted Exploration via Sensitivity Factors (NeurIPS) / Blackout Mitigation via Physics-guided RL (IEEE TPS). Built with TensorFlow.
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