Open kim-mskw opened 7 months ago
To enhance the RL method currently implemented in ASSUME, we want to add diffrent policies and buffers.
This includes an LSTM policy for the actor and/or critic instead of the plain NN to have some time awareness.
Furthermore, a new buffer is implemented, which uses not random sampling but importance sampling instead.
As mentioned by @kim-mskw during the development meeting, the work on the LSTM policy provided good results and can be merged with the framework soon
To enhance the RL method currently implemented in ASSUME, we want to add diffrent policies and buffers.
This includes an LSTM policy for the actor and/or critic instead of the plain NN to have some time awareness.
Furthermore, a new buffer is implemented, which uses not random sampling but importance sampling instead.