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I am writing to inform you that there is a problem between the avalanche-rl and DQNStrategy.
Unfortunately, in avalanche-rl when a strategy uses EWC plugin, below error will be raise:
Error for Compute EWC penalty and add it to the loss.
exp_counter = strategy.clock.train_exp_counter
if exp_counter == 0:
return
'DQNStrategy' object has no attribute 'clock'.
It needs to add 'clock' attribute in 'DQNStrategy'. I will appreciate if you update this bug in the avalanhe-rl.
avalanche-lib==0.3.1
The text was updated successfully, but these errors were encountered:
Hi @Ai360n, I'm having the same problem right now, but if you don't need the clock and you just need an alternative way to use the experience_counter, then just use the training_exp_counter attribute of the RLBaseStrategy class, which has the same meaning of train_exp_counter.
So inside ewc.py of avalanche just change your line to exp_counter = strategy.training_exp_counter (in both before_backward and after_training_exp methods).
Of course in order to do this you should have installed avalanche 0.3.1 locally with pip install -e . option, in order to use your local modifies as the library.
Hello,
I am writing to inform you that there is a problem between the avalanche-rl and DQNStrategy.
Unfortunately, in avalanche-rl when a strategy uses EWC plugin, below error will be raise:
Error for Compute EWC penalty and add it to the loss.
exp_counter = strategy.clock.train_exp_counter
if exp_counter == 0:
return
'DQNStrategy' object has no attribute 'clock'.
It needs to add 'clock' attribute in 'DQNStrategy'. I will appreciate if you update this bug in the avalanhe-rl.
avalanche-lib==0.3.1
The text was updated successfully, but these errors were encountered: