ppo rnn with bootstrap last value on episode end and 1k window length: 1) active return 3e-4 pi lr, 2) active return penalized turnovers 3e-4 pi lr, 3) sharpe based reward

ppo with bootstrap V value at episode boundaries not zero

finish with ppo rnn with sharpe ratio reward base/cidl features

progress (1/5) train ppo rnn with sharpe ratio reward base/cidl features