Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning

10 March 2020

Papers citing "Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning"

8 / 8 papers shown

Title
Academic competitions H. J. Escalante Aleksandra Kruchinina AI4CE 30 0 0 01 Dec 2023
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 32 0 0 30 Aug 2023
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter Aleksandar Stanić Yujin Tang David R Ha Jürgen Schmidhuber ELM 29 13 0 05 Aug 2022
Benchmarking the Spectrum of Agent Capabilities Danijar Hafner ELM 33 127 0 14 Sep 2021
Accelerating the Learning of TAMER with Counterfactual Explanations Jakob Karalus F. Lindner OffRL 29 4 0 03 Aug 2021
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods Nicholay Topin Stephanie Milani Fei Fang Manuela Veloso OffRL 18 32 0 25 Feb 2021
String Diagrams for Assembly Planning J. Master Evan Patterson Shahin Yousfi A. Canedo 13 6 0 23 Sep 2019
Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning L. Kidzinski Sharada Mohanty Carmichael F. Ong Jennifer Hicks Sean F. Carroll Sergey Levine M. Salathé Scott L. Delp 21 60 0 31 Mar 2018