Extended Generative Adversarial Imitation Learning for Autonomous Agents in Minecraft Game

Author:

Moon Hyung-Jun1,Cho Sung-Bae2

Affiliation:

1. Yonsei University,Department of Artificial Inteligence,Seoul,Korea,03722

2. Yonsei University,Department of Computer Science,Seoul,Korea,03722

Publisher

IEEE

Reference43 articles.

1. A Survey on Imitation Learning Techniques for End-to-End Autonomous Vehicles

2. Imitation learning: Progress, taxonomies and challenges;Zheng;IEEE Trans. on Neural Networks and Learning Systems,2022

3. Retrospective on the 2021 minerl BASALT competition on learning from human feedback;Shah;NeurIPS 2021 Competitions and Demonstrations Track,2022

4. Retrospective analysis of the 2019 MineRL competition on sample efficient reinforcement learning;Milani;NeurIPS 2019 Competition and Demonstration Track,2020

5. Minerl diamond 2021 competition: Overview, results, and lessons learned;Kanervisto;NeurIPS 2021 Competitions and Demonstrations Track,2022

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