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This repository has been archived by the owner on Oct 16, 2022. It is now read-only.
Hello! I've been learning how to code RL form your repo. I've replace duplicating code lines from
def train
def update_policy
to agent's method self.sample_action(). And it seems that agent now solves Cart-Pole problem x2 slower(num of episodes). And it happes everytime. I have no idea what happens with torch and havn't found anything on Internet.
Can you pls help me?
Hello! I've been learning how to code RL form your repo. I've replace duplicating code lines from
def train
def update_policy
to agent's method self.sample_action(). And it seems that agent now solves Cart-Pole problem x2 slower(num of episodes). And it happes everytime. I have no idea what happens with torch and havn't found anything on Internet.
Can you pls help me?
https://github.com/lemikhovalex/pytorch-rl
5_tr - Proximal Policy Optimization (PPO) [CartPole]-Copy1.ipynb
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