4 citations · 5 across the 3 of their papers we have counts for
4 papers
CrafterDojo: A Suite of Foundation Models for Building Open-Ended Embodied Agents in Crafter
Junyeong Park, Hyeonseo Cho, Sungjin Ahn
Developing general-purpose embodied agents is a core challenge in AI. Minecraft provides rich complexity and internet-scale data, but its slow speed and engineering overhead make i…
MrSteve: Instruction-Following Agents in Minecraft with What-Where-When Memory
Junyeong Park, Junmo Cho, Sungjin Ahn
Significant advances have been made in developing general-purpose embodied AI in environments like Minecraft through the adoption of LLM-augmented hierarchical approaches. While th…
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models
Yeongbin Kim, Gautam Singh, Junyeong Park +2
Systematic compositionality, or the ability to adapt to novel situations by creating a mental model of the world using reusable pieces of knowledge, remains a significant challenge…
Facing Off World Model Backbones: RNNs, Transformers, and S4
Fei Deng, Junyeong Park, Sungjin Ahn
World models are a fundamental component in model-based reinforcement learning (MBRL). To perform temporally extended and consistent simulations of the future in partially observab…