Abstract: This paper develops an innovative framework that integrates Self-Supervised Learning (SSL) with Reinforcement Learning (RL) to analyze workstation activities for predicting and enhancing ...
This project presents a robust autonomous driving pipeline that combines Self-Supervised Learning (SSL) for perception and Proximal Policy Optimization (PPO) for decision-making in the CARLA simulator ...
python train.py task=rl env=pong model=atari_cnn epochs=3 ...
Abstract: The article introduces a hybrid system, which is a combination of self-supervised learning (SSL) and reinforcement learning (RL), facilitating to predict productivity among employees in ...