| Human-timescale adaptation in an open-ended task space AA Team, J Bauer, K Baumli, S Baveja, F Behbahani, A Bhoopchand, ... arXiv preprint arXiv:2301.07608, 2023 | 81 | 2023 |
| Learning arbitrary-goal fabric folding with one hour of real robot experience R Lee, D Ward, V Dasagi, A Cosgun, J Leitner, P Corke Conference on Robot Learning, 2317-2327, 2021 | 73 | 2021 |
| The challenges of exploration for offline reinforcement learning N Lambert, M Wulfmeier, W Whitney, A Byravan, M Bloesch, V Dasagi, ... arXiv preprint arXiv:2201.11861, 2022 | 41 | 2022 |
| Human-timescale adaptation in an open-ended task space J Bauer, K Baumli, F Behbahani, A Bhoopchand, N Bradley-Schmieg, ... International Conference on Machine Learning, 1887-1935, 2023 | 33 | 2023 |
| Bayesian controller fusion: Leveraging control priors in deep reinforcement learning for robotics K Rana, V Dasagi, J Haviland, B Talbot, M Milford, N Sünderhauf The International Journal of Robotics Research 42 (3), 123-146, 2023 | 33 | 2023 |
| Residual reactive navigation: Combining classical and learned navigation strategies for deployment in unknown environments K Rana, B Talbot, V Dasagi, M Milford, N Sünderhauf 2020 IEEE International Conference on Robotics and Automation (ICRA), 11493 …, 2020 | 30 | 2020 |
| Is curiosity all you need? on the utility of emergent behaviours from curious exploration O Groth, M Wulfmeier, G Vezzani, V Dasagi, T Hertweck, R Hafner, ... arXiv preprint arXiv:2109.08603, 2021 | 27 | 2021 |
| States as strings as strategies: Steering language models with game-theoretic solvers I Gemp, Y Bachrach, M Lanctot, R Patel, V Dasagi, L Marris, G Piliouras, ... arXiv preprint arXiv:2402.01704, 2024 | 14 | 2024 |
| Multiplicative controller fusion: Leveraging algorithmic priors for sample-efficient reinforcement learning and safe sim-to-real transfer K Rana, V Dasagi, B Talbot, M Milford, N Sünderhauf 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 13 | 2020 |
| Ctrl-z: Recovering from instability in reinforcement learning V Dasagi, J Bruce, T Peynot, J Leitner arXiv preprint arXiv:1910.03732, 2019 | 13 | 2019 |
| Sim-to-real transfer of robot learning with variable length inputs V Dasagi, R Lee, S Mou, J Bruce, N Sünderhauf, J Leitner arXiv preprint arXiv:1809.07480, 2018 | 10* | 2018 |
| Multiplicative controller fusion: A hybrid navigation strategy for deployment in unknown environments K Rana, V Dasagi, B Talbot, M Milford, N Sünderhauf IEEE International Conference on Intelligent Robots and Systems, 2020 | 6 | 2020 |
| Human-timescale adaptation in an open-ended task space, 2023 AA Team, J Bauer, K Baumli, S Baveja, F Behbahani, A Bhoopchand, ... URL https://arxiv. org/abs/2301.07608, 0 | 6 | |
| Developing, evaluating and scaling learning agents in multi-agent environments I Gemp, T Anthony, Y Bachrach, A Bhoopchand, K Bullard, J Connor, ... AI Communications 35 (4), 271-284, 2022 | 5 | 2022 |
| Steering language models with game-theoretic solvers I Gemp, R Patel, Y Bachrach, M Lanctot, V Dasagi, L Marris, G Piliouras, ... Agentic Markets Workshop at ICML 2024, 2024 | 3 | 2024 |
| Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks V Dasagi, R Lee, J Bruce, J Leitner arXiv preprint arXiv:1911.08666, 2019 | 3 | 2019 |
| Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots K Rana, V Dasagi, J Haviland, B Talbot, MI Milford, N Sünderhauf arXiv preprint arXiv:2112.05299, 2021 | 2 | 2021 |
| Efficient and stable reinforcement learning for robotics V Dasagi Queensland University of Technology, 2022 | | 2022 |
| RoboCup 2013 Humanoid Kidsize League Winner DD Lee, SJ Yi, SG McGill, Y Zhang, L Vadakedathu, S Brahmbhatt, ... RoboCup 2013: Robot World Cup XVII 17, 49-55, 2014 | | 2014 |
Niko SuenderhaufProfessor at Queensland University of Technology (QUT) Centre for RoboticsEmail verificata su qut.edu.au