Slow learning even though the reward is shaped

Web: https://www.reddit.com/r/reinforcementlearning/comments/sajoj1/slow_learning_even_though_the_reward_is_shaped/

Hello,

I have an RL agent which has to move to a certain target location. Currently, the area is 1000x1000 units and agent moves at 100 units/step (in any direction). At each step, the agent gets a positive reward for moving towards the target, and a negative reward otherwise (hence the reward is shaped; the agent does not get anything more at the end of the episode). This works perfectly fine, and the agent learns to go to the target. …

learning reinforcementlearning