Towards explainable value functions in reinforcement learning. A framework for collision probability distribution estimation via deep temporal difference learning.

My Implementation of the Accelerated Gradient Temporal Difference Learning algorithm in Python

Course work for CSE 574 Planning and Learning Methods in AI

A Reinforcement Learning library for solving custom environments

Q-learning and SARSA playing ludo.

Q-Learning Implementation for Process Optimization A reinforcement learning project that calculates the shortest route between locations using the Q-Learning algorithm. This code demonstrates how AI can optimize processes in a simulated environment with predefined states and rewards. 🚀