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arXiv · 2506.17103

TransDreamerV3: Implanting Transformer In DreamerV3

Shruti Sadanand Dongare·Amun Kharel·Jonathan Samuel·Xiaona Zhou
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Abstract

This paper introduces TransDreamerV3, a reinforcement learning model that enhances the DreamerV3 architecture by integrating a transformer encoder. The model is designed to improve memory and decision-making capabilities in complex environments. We conducted experiments on Atari-Boxing, Atari-Freeway, Atari-Pong, and Crafter tasks, where TransDreamerV3 demonstrated improved performance over DreamerV3, particularly in the Atari-Freeway and Crafter tasks. While issues in the Minecraft task and limited training across all tasks were noted, TransDreamerV3 displays advancement in world model-based reinforcement learning, leveraging transformer architectures.

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Shruti Sadanand Dongare, Amun Kharel, Jonathan Samuel, Xiaona Zhou. 2025-06-20. TransDreamerV3: Implanting Transformer In DreamerV3. https://arxiv.org/abs/2506.17103

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