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flgw
AdvRL19
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Created with Raphaël 2.2.0
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final push
mine
mine
rescue
hw4 q1
import fixes
fix the terminal mask
ignore data files
initial impl of AC
adding NN baseline and optional normalization
Splitting out normalization
Merge branch 'mine' into 'master'
master
master
vanilla DQN - solves Pong, PongRam, LunarLander
path adaptions
path adaptions
Prob. 3 solved - Cartpole & InvertedPendulum!
adapt paths
dagger is extension of behavior_clone.py
playing around
add roboschool
pepify & adapt path
pepify
thin wrapper around pre-trained roboschool agents
ignore pycharm
linear model
HW5c fix (nit): make `sample_trajectory() part of Problem 1
HW5c fix: use activation functions consistently between RNN and FC
HW5c fix (nit): variable naming instruction for compatibility
HW5c fix (nit): make `build_rnn` more clear, remove unneeded arg
HW5c fix (nit): remove unneeded method in PointEnv
HW5c fix: Problem 1 eval deterministically on all tasks
HW5c fix: critic arch should match policy
updated hw5 instructions to take variability across random seeds into account
fix typo
fixed wrong version of run_all.sh
HW5c: fix point mass env description to be accurate
HW5c: bug fix, make policy and critic nets match
Merge branch 'master' of https://github.com/berkeleydeeprlcourse/homework
changed dti in point mass ex2 to 1000
add HW5c: meta-learning
hw5 doc
hw5 doc
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