razainno / Environment-Driven-Exploration-in-Reinforcement-Learning

n reinforcement learning algorithm robot learn and explore the all possible action in all possible states in given environment .If noise is added to action vector , its doesn’t guarantee the to give the correct result for varied states. The main objective of this project is to study the behavior of robot in OpenAI Gym Environments by adding correlated noise . This include the introduction of pybullet environment and correlated noise, followed by methodology and results,which contain cons and pros of addition of correlated noise

Environment Driven Exploration in Reinforcement Learning

the folder effect of correlated noise contain three folder, each folder is for each experiment, which contain seed for both robot and file which i have modified, each experiment has its own readme file which contain experiment result supported with gif