Hands-on Reinforcement Learning
Jun 3, 2024
·
1 min read
This is my exploratory project in Reinforcement Learning, where I have implemented common learning algorithms such as Q-learning, to play the mountain car game. I have also implemented different greedy, epsilon greedy, UCB sampling strategy, and have plotted their regret versus number of samples.
Authors
Anshu Arora
(अंशु अरोड़ा)
MS Student
I am interested in machine learning and robotics, with a focus on reinforcement learning, optimization, and data-efficient learning algorithms for embodied agents. My goal is to develop systems that can generalize, adapt, and make effective decisions under real-world constraints. I am particularly excited by problems at the intersection of learning, control, and autonomous interaction.