Build and train a reinforcement learning (RL) model on AWS to autonomously drive JPL’s Open-Source Rover between given locations in a simulated Mars environment with the least amount of energy consumption and risk of damage.
What I've done here is remove the smooth reward function that @wakeuplearn added. This was supposed to be able to do the same thing as the waypoints in the reward function, but without the waypoints. Edwin's added waypoints and this smooth function, so I've highlighted this in #13 as well as this PR
What I've done here is remove the smooth reward function that @wakeuplearn added. This was supposed to be able to do the same thing as the waypoints in the reward function, but without the waypoints. Edwin's added waypoints and this smooth function, so I've highlighted this in #13 as well as this PR