Comments (2)
Confirmed.
from ai-blog.
I've got a repo where I implemented the importance sampling for ddpg PER. I'm still unsure if it works. But lines 68 - 91 might be useful for you. It's pretty slow, but I still haven't figured out a faster way.
Would be interesting to see how not using importance sampling would effect your results.
from ai-blog.
Related Issues (20)
- Error in Seaquest-DDQN-PER.py HOT 1
- Agent/self mixup HOT 2
- A3c getsample potential error HOT 1
- Licence HOT 1
- Playing Breakout with the program HOT 2
- A3C version missing a GAMMA
- site down HOT 1
- Conceptual question about DQN when reward is always -1
- what is model._make_predict_function() used for? HOT 2
- Retro
- A couple of questions
- Continue train lstm model in keras while maintenance to deploy the model with flask on one gpu?
- Just some questions
- Race condition in Optimizer in A3C script HOT 1
- Threading in A3C is not really concurrent HOT 2
- how to add an LSTM layer?
- Keras 2 API HOT 1
- Using pseudo-huber loss is incorrect
- why two models in the brain? HOT 2
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from ai-blog.