I have built a custom RL environment with
gym, which simulates the RL vehicle and potential vehicles in front of the RL vehicle as well as traffic lights (including their state; red, yellow, green). I trained a PPO agent from
stable_baselines3 without considering setting of hyperparameters and the agent learned to follow the vehicle in front of it without crashing. However it does not learn to stop at red lights after extensive training.
I tried training it without surrounding vehicles to get more interactions of the RL vehicle with traffic lights and this helped the agent to learn stopping a red light. However when I then continue training of the agent in a new environment with surrounding traffic, the agent again
un-learns stopping at red lights.
I am still a novice with RL and do not understand as to why this happens and what I can do here. Should I set hyperparameters? Or try a different model? Or should I exchange the default policy of the PPO model?