Abstract: In order to solve the problems of slow convergence speed of the traditional deep reinforcement learning proximal strategy optimization (PPO) algorithm, an RPPO algorithm for continuous robot ...

Developed an AWS DeepRacer model using Python & the PPO algorithm, leveraging TensorFlow to train & fine-tune a deep reinforcement learning model. Designed a custom reward function & optimized ...

AI agents for Trackmania using the TMRL package. Implemented DDPG, PPO, and used two SAC algorithms (with one or two critics) to train cars to navigate custom-built tracks.

ABSTRACT: Nowadays, brain function evaluation using Functional Near Infrared Spectroscopy (fNIRS) is one of the most potential non-invasive monitoring techniques. This paper concerns usefulness of the ...