This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.
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Updated
Feb 15, 2022 - Python
This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.
ORLA is a symbolic reinforcement learning approach that learns a value-based argumentation framework as a reasoning engine for solving a task. This repo demonstrates ORLA on both the Foggy Frozen Lake and the Takeaway tasks.
Various reinforcement learning algorithms implemented on the frozen lake grid world.
This repository serves as a collection of projects completed as part of an AI course.
We use Policy Iteration and Value Iteration to solve the frozen lake problem
End-to-end reinforcement learning pipeline integrating abstract argumentation
Using the cross-entropy method to solve Frozen Lake.
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