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
Implementing the Markov Decision process on a 2-D world.
This project aims to explore the basic concepts of Reinforcement Learning using the FrozenLake environment from the OpenAI Gym library.
Q-Value (Reinforcement Learning) on Grid World
Reinforcement Learning을 이용한 Pac-Man 최적 경로 구하기
Simulation of Routing Algorithms used in communication networks in python
Game Tic-Tac-Toe with Q_learning algorithm
Optimal solution computation 💹 for macroeconomic models 🤑 with dynamic programming in python 🐍
Projects and Models built in Python leveraging PyTorch, implementing Reinforcement Learning algorithms for reward-based tasks.
Personal implementation in C++ of http://www.cs.put.poznan.pl/mszubert/pub/szubert2014cig.pdf. Results could be reproduced. It's an algorithm that learns by itself to solve the 2048 game. It doesn't use deep learning (aka. neural networks). But it learns by itself using the Bellman equations.
Iterative Policy Evaluation for the world of linear-equation-solving proofs. Given a policy for how to solve a linear equation, we find the corresponding value function--that is, the function that assigns values to each state.
A Markov Decision Process (MDP) based implementation of a Pacman agent, to survive and battle through a handicapped stochastic environment.
Reinforcement Learning Light Riders Bot
Mountain Car is a Gym environment. I used this environment to train my model using Q-Learning which is a reinforcement learning technic.
CZ4046: Intelligent Agents - Assignment 1
Explore Reinforcement learning
Reinforcement learning notebooks
Evolutionary algorithm to make better trade decisions based on Bellman equation. (Experimental)
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