| Learning to Act without Actions D Schmidt, M Jiang International Conference on Learning Representations 2024 (Spotlight), 2024 | 68 | 2024 |
| Aide: Ai-driven exploration in the space of code Z Jiang, D Schmidt, D Srikanth, D Xu, I Kaplan, D Jacenko, Y Wu arXiv preprint arXiv:2502.13138, 2025 | 55 | 2025 |
| Towards generalist robot learning from internet video: A survey R McCarthy, DCH Tan, D Schmidt, F Acero, N Herr, Y Du, TG Thuruthel, ... Journal of Artificial Intelligence Research 83, 2025 | 44 | 2025 |
| Fast and Data-Efficient Training of Rainbow: an Experimental Study on Atari D Schmidt, T Schmied Deep Reinforcement Learning Workshop NeurIPS 2021, 2021 | 20 | 2021 |
| Constrained training of recurrent neural networks for automata learning BK Aichernig, S König, C Mateis, A Pferscher, D Schmidt, M Tappler International Conference on Software Engineering and Formal Methods, 155-172, 2022 | 6 | 2022 |
| Dojo: A Benchmark for Large Scale Multi-Task Reinforcement Learning D Schmidt ICLR Workshop on Agent Learning in Open-Endedness, 2022 | | 2022 |
Minqi JiangMeta Superintelligence LabsVerified email at ucl.ac.uk
