1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
STEVE-Audio: Expanding the Goal Conditioning Modalities of Embodied Agents in Minecraft
Nicholas Lenzen, Amogh Raut, Andrew Melnik
Recently, the STEVE-1 approach has been introduced as a method for training generative agents to follow instructions in the form of latent CLIP embeddings. In this work, we present…
cs.AI2023★ 1 cited
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition
Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas +27
To facilitate research in the direction of fine-tuning foundation models from human feedback, we held the MineRL BASALT Competition on Fine-Tuning from Human Feedback at NeurIPS 20…