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Retrospective on the 2021 BASALT Competition on Learning from Human
  Feedback

Retrospective on the 2021 BASALT Competition on Learning from Human Feedback

14 April 2022
Rohin Shah
Steven H. Wang
Cody Wild
Stephanie Milani
Anssi Kanervisto
Vinicius G. Goecks
Nicholas R. Waytowich
David Watkins-Valls
Bharat Prakash
Edmund Mills
Divyansh Garg
Alexander Fries
Alexandra Souly
Chan Jun Shern
Daniel del Castillo
Tom Lieberum
    LLMAG
    OffRL
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Papers citing "Retrospective on the 2021 BASALT Competition on Learning from Human Feedback"

3 / 3 papers shown
Title
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for
  Training and Benchmarking Agents that Solve Fuzzy Tasks
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks
Stephanie Milani
Anssi Kanervisto
Karolis Ramanauskas
Sander Schulhoff
Brandon Houghton
Rohin Shah
21
6
0
05 Dec 2023
Benchmarking Robustness and Generalization in Multi-Agent Systems: A
  Case Study on Neural MMO
Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO
Yangkun Chen
Joseph Suárez
Junjie Zhang
Chenghui Yu
Bo Wu
...
Sharada Mohanty
Jiaxin Chen
Xiu Li
Xiaolong Zhu
Phillip Isola
24
0
0
30 Aug 2023
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the
  MineRL BASALT 2022 Competition
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition
Stephanie Milani
Anssi Kanervisto
Karolis Ramanauskas
Sander Schulhoff
Brandon Houghton
...
Vinicius G. Goecks
Nicholas R. Waytowich
David Watkins
J. Miller
Rohin Shah
25
16
0
23 Mar 2023
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