Repository for the Reinforcement Learning (CSE564) Fall'19 course at IIIT Delhi
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Updated
Dec 6, 2019 - Jupyter Notebook
Repository for the Reinforcement Learning (CSE564) Fall'19 course at IIIT Delhi
The repository contains codes for RL (e.g., Q-Learning, Monte Carlo, …) in the form of Python files.
Using policy iteration for guiding a robot to find the optimal (safest and shortest) path between start and end point
Implementation of certain crucial algorithms in the field of reinforcement learning.
Scientific Initiation in Deep Reinforcement Learning (2019 - 2020, FGV-EMAp)
My programs during CS747 (Foundations of Intelligent and Learning Agents) Autumn 2021-22
This repository contains practical session for the Reinforcement Learning course @CentraleSupélec
First homework for the RL class
Repository of Reinforcement Learning projects done during the course @sapienza
Play Atari Pong with REINFORCE and Deep Q-Learning
Scripts for the Dynamic Programming and Optimal Control 2022 course at ETH Zürich.
Solutions for the labs in Deep RL Bootcamp.
This repository has my course projects from the course AI- Probabilistic Reason and Learning taught by Lawrence Saul at UCSD
this repository contains my codes for fundamentals of AI course projects
Simple program to solve Markov Decision Processes using policy iteration and value iteration.
solving a simple 4*4 Gridworld almost similar to openAI gym frozenlake using value iteration method Reinforcement Learning
University of Tehran-Reinforcement Learning Fall 2022
My reports for the reinforcement learning class given at the ENS
Reinforcement Learning Light Riders Bot
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