Reinforcement Learning Challenge

"The current challenge is pushing the limits of exploration techniques. I noticed the reward function is scaled differently from previous iterations—has anyone tested the impact of exploration decay rates yet?"

"I'm experimenting with entropy regularization for exploration. It's showing promising results in the Lander environment—has anyone tried this with the current parameters?"

"Sharing my DDPG implementation fork with adaptive action bounding that's working well here. Anyone need help tuning their networks for this iteration's constraints?"