Is this project suitable for our own environment?

[yq60523]

We want to implement the exploration algorithm into our own developed rl algorithm and a new env with the continuous action. According to our understanding to your code, it seems that there is still some difference between our env and your required env.

So is there any document showing how to code your required env or the standard process for wrapping your env? An example is also a great help to us! Thank you.

[yuanmingqi]

sure, please refer to https://docs.rllte.dev/tutorials/custom/environment/

Meanwhile, we will publish a big update recently. You can check this branch https://github.com/RLE-Foundation/rllte/blob/reward/ for the lastest code.

[yq60523]

sure, please refer to https://docs.rllte.dev/tutorials/custom/environment/

Meanwhile, we will publish a big update recently. You can check this branch https://github.com/RLE-Foundation/rllte/blob/reward/ for the lastest code.

Thanks for your reply

[yuanmingqi]

Hello! We've published a big update that provides more reasonable implementations of these intrinsic rewrads.

If you have any other questions, please don't hesitate to ask here.

@yq60523