| 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 | 21 | 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 | 17 | 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 | 10 | 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 | 10 | 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, ... Thirty-seventh Conference on Neural Information Processing Systems Datasets …, 2023 | 1 | 2023 |
| Colour versus Shape Goal Misgeneralization in Reinforcement Learning: A Case Study K Ramanauskas, Ö Şimşek ATTRIB: Workshop on Attributing Model Behavior at Scale at NeurIPS 2023, 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 |
Stephanie MilaniCarnegie Mellon UniversityVerified email at andrew.cmu.edu
