Character animation using reinforcement learning and imitation learning algorithms

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Opis bibliograficzny
Główni autorzy:	Tahmid, Tokey, Lobabah, Mohammad Abu, Ahsan, Muntasir, Zarin, Raisa, Anis, Sabah Shahnoor
Kolejni autorzy:	Ashraf, Faisal Bin
Format:	Praca dyplomowa
Język:	English
Wydane:	2021
Hasła przedmiotowe:	Animation AI Reinforcement Learning Imitation Learning PPO BC GAIL Unity ML agents Reinforcement learning.
Dostęp online:	http://hdl.handle.net/10361/14971

id	10361-14971
record_format	dspace
spelling	10361-149712022-01-26T10:20:08Z Character animation using reinforcement learning and imitation learning algorithms Tahmid, Tokey Lobabah, Mohammad Abu Ahsan, Muntasir Zarin, Raisa Anis, Sabah Shahnoor Ashraf, Faisal Bin Alam, Md. Golam Rabiul Department of Computer Science and Engineering, Brac University Animation AI Reinforcement Learning Imitation Learning PPO BC GAIL Unity ML agents Reinforcement learning. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (pages 36-37). Real-time character animation for gaming and film industries is challenging and achieving production-ready quality is the hardest part. Managing time and resources also plays a vital role here. Animation through marker-based motion capture is quite a tiresome process that requires costly motion-capture suits, multiple cameras, and a large amount of storage space to store all the animation. In order to make advancements in the field of animation, AI can help us manage our time and resources as well as achieve high-quality animation. In this paper, we propose a model that aims to generate real-time character animation for biped locomotion in Unity ML agents using Reinforcement learning and Imitation learning algorithms. We first evaluate the training with solely the state-of-the-art RL algorithm, PPO. Then we analyze the combination of Imitation learning algorithms BC and GAIL in conjunction with PPO. We further discuss the comparison between the two training datasets and show that our model is able to generate animations in real-time avoiding all the tedious work and large databases. We demonstrate that this approach will result in a good amount of data compression making it effortless while maintaining the quality. Tokey Tahmid Mohammad Abu Lobabah Muntasir Ahsan Raisa Zarin Sabah Shahnoor Anis B. Computer Science 2021-09-04T12:39:52Z 2021-09-04T12:39:52Z 2021 2021-06 Thesis ID 17101359 ID 17101376 ID 17101011 ID 17301072 ID 18301288 http://hdl.handle.net/10361/14971 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 37 pages application/pdf
institution	Brac University
collection	Institutional Repository
language	English
topic	Animation AI Reinforcement Learning Imitation Learning PPO BC GAIL Unity ML agents Reinforcement learning.
spellingShingle	Animation AI Reinforcement Learning Imitation Learning PPO BC GAIL Unity ML agents Reinforcement learning. Tahmid, Tokey Lobabah, Mohammad Abu Ahsan, Muntasir Zarin, Raisa Anis, Sabah Shahnoor Character animation using reinforcement learning and imitation learning algorithms
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
author2	Ashraf, Faisal Bin
author_facet	Ashraf, Faisal Bin Tahmid, Tokey Lobabah, Mohammad Abu Ahsan, Muntasir Zarin, Raisa Anis, Sabah Shahnoor
format	Thesis
author	Tahmid, Tokey Lobabah, Mohammad Abu Ahsan, Muntasir Zarin, Raisa Anis, Sabah Shahnoor
author_sort	Tahmid, Tokey
title	Character animation using reinforcement learning and imitation learning algorithms
title_short	Character animation using reinforcement learning and imitation learning algorithms
title_full	Character animation using reinforcement learning and imitation learning algorithms
title_fullStr	Character animation using reinforcement learning and imitation learning algorithms
title_full_unstemmed	Character animation using reinforcement learning and imitation learning algorithms
title_sort	character animation using reinforcement learning and imitation learning algorithms
publishDate	2021
url	http://hdl.handle.net/10361/14971
work_keys_str_mv	AT tahmidtokey characteranimationusingreinforcementlearningandimitationlearningalgorithms AT lobabahmohammadabu characteranimationusingreinforcementlearningandimitationlearningalgorithms AT ahsanmuntasir characteranimationusingreinforcementlearningandimitationlearningalgorithms AT zarinraisa characteranimationusingreinforcementlearningandimitationlearningalgorithms AT anissabahshahnoor characteranimationusingreinforcementlearningandimitationlearningalgorithms
_version_	1814309285294768128

Character animation using reinforcement learning and imitation learning algorithms

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