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An open-source platform for applying Reinforcement Learning for Grid Control (RLGC)

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Dear Qinhua, I was always struggling to connect the power system simulation tool (like PSAT, BPA) to a public available RL environment like Gym. Your work was amazing. I'd like...

I've had some free time in the last few days and I probably figured out a [bug](https://github.com/RLGC-Project/RLGC/issues/11) where, during training, the agent cannot overcome the reward boundary of -602 in...

According your advice, I switched to Stable-Baselines instead of openAI baseline in the Kundur system training. ``` def main(learning_rate, env): tf.reset_default_graph() graph = tf.get_default_graph() model = DQN(CustomDQNPolicy, env, learning_rate=learning_rate, verbose=0)...

bug

Documentation for running codes: source activate cd RLGC/src/py python trainIEEE39LoadSheddingAgent_discrete_action.py Problems and custom fixes: 1. There is no file folder src/ as py/ 2. I found "trainIEEE39LoadSheddingAgent_discrete_action.py " under examples/IEEE39_load_shedding...

help wanted
good first issue
question

Tried running test_IEEE300_Zone1_loadshedding.py and keep getting Error: Unable to access jarfile. Tried downloading java as well but did not solve the issue.