Seoul, KR
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OpenAI
Measure sample efficiency and generalization in reinforcement learning using procedurally generated environments
Latest submissions
SBB
Deutsche Bahn
SNCF
Multi-Agent Reinforcement Learning on Trains
Latest submissions
See All| failed | 76317 | ||
| failed | 76313 | ||
| failed | 76303 |
Stanford Neuromuscular Biomechanics Laboratory
Reinforcement Learning on Musculoskeletal Models
Latest submissions
See All| graded | 10867 | ||
| graded | 10866 | ||
| failed | 10865 |
MineRL Labs - Carnegie Mellon University
Sample-efficient reinforcement learning in Minecraft
Latest submissions
See All| graded | 11629 | ||
| graded | 11596 | ||
| graded | 11162 |
Unity Technologies
A new benchmark for Artificial Intelligence (AI) research in Reinforcement Learning
Latest submissions
See All| graded | 200 | ||
| graded | 191 | ||
| graded | 189 |
AIcrowd
Multi-Agent Reinforcement Learning on Trains
Latest submissions
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| Participant | Rating |
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RLKR_Miner NeurIPS 2019 : MineRL CompetitionView
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