Minerl diamond 2021 competition: Overview, results, and lessons learned A Kanervisto, S Milani, K Ramanauskas, N Topin, Z Lin, J Li, J Shi, D Ye, ... NeurIPS 2021 Competitions and Demonstrations Track, 13-28, 2022 | 28 | 2022 |
Insights from the NeurIPS 2021 NetHack challenge E Hambro, S Mohanty, D Babaev, M Byeon, D Chakraborty, ... NeurIPS 2021 Competitions and Demonstrations Track, 41-52, 2022 | 23 | 2022 |
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition S Milani, A Kanervisto, K Ramanauskas, S Schulhoff, B Houghton, ... NeurIPS 2022 Competitions Track, 171-188, 2023 | 14 | 2023 |
Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020 WH Guss, S Milani, N Topin, B Houghton, S Mohanty, A Melnik, A Harter, ... NeurIPS 2020 Competition and Demonstration Track, 233-252, 2021 | 14 | 2021 |
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks S Milani, A Kanervisto, K Ramanauskas, SV Schulhoff, B Houghton, ... (Oral) NeurIPS 2023 Track on Datasets and Benchmarks, 2023 | 6 | 2023 |
Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent K Jucys, G Adamopoulos, M Hamidi, S Milani, MR Samsami, A Zholus, ... ICML 2024 Mechanistic Interpretability Workshop, 2024 | | 2024 |
Colour versus Shape Goal Misgeneralization in Reinforcement Learning: A Case Study K Ramanauskas, Ö Şimşek NeurIPS 2023 ATTRIB: Workshop on Attributing Model Behavior at Scale, 2023 | | 2023 |
NeurIPS 2021 Competition and Demonstration Track Revised Selected Papers D Kiela, M Ciccone, B Caputo, A Kanervisto, S Milani, K Ramanauskas, ... NeurIPS 2021 Competitions and Demonstrations Track, i-ii, 2022 | | 2022 |