| Align-rudder: Learning from few demonstrations by reward redistribution VP Patil, M Hofmarcher, MC Dinu, M Dorfer, PM Blies, J Brandstetter, ... International Conference on Machine Learning (ICML) 2022, 2020 | 42 | 2020 |
| History compression via language models in reinforcement learning F Paischer, T Adler, V Patil, A Bitto-Nemling, M Holzleitner, S Lehner, ... International Conference on Machine Learning, 17156-17185, 2022 | 27 | 2022 |
| Modern hopfield networks for return decomposition for delayed rewards M Widrich, M Hofmarcher, VP Patil, A Bitto-Nemling, S Hochreiter Deep RL Workshop NeurIPS 2021, 2021 | 18 | 2021 |
| Understanding the effects of dataset characteristics on offline reinforcement learning K Schweighofer, M Hofmarcher, MC Dinu, P Renz, A Bitto-Nemling, ... arXiv preprint arXiv:2111.04714, 2021 | 17 | 2021 |
| Reactive exploration to cope with non-stationarity in lifelong reinforcement learning CA Steinparz, T Schmied, F Paischer, MC Dinu, VP Patil, A Bitto-Nemling, ... Conference on Lifelong Learning Agents, 441-469, 2022 | 8 | 2022 |
| A dataset perspective on offline reinforcement learning K Schweighofer, M Dinu, A Radler, M Hofmarcher, VP Patil, ... Conference on Lifelong Learning Agents, 470-517, 2022 | 7 | 2022 |
| Xai and strategy extraction via reward redistribution MC Dinu, M Hofmarcher, VP Patil, M Dorfer, PM Blies, J Brandstetter, ... International Workshop on Extending Explainable AI Beyond Deep Models and …, 2020 | 6 | 2020 |
| A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning Y Diouane, A Lucchi, V Patil AISTATS 2022, 2022 | 4 | 2022 |
| MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand V Caggiano, G Durandau, H Wang, A Chiappa, A Mathis, P Tano, N Patel, ... NeurIPS 2022 Competition Track, 233-250, 2023 | 2 | 2023 |
| InfODist: Online distillation with Informative rewards improves generalization in Curriculum Learning R Siripurapu, VP Patil, K Schweighofer, MC Dinu, T Schmied, LEF Diez, ... Deep Reinforcement Learning Workshop NeurIPS 2022, 2022 | 1 | 2022 |
| Modern Hopfield networks for sample-efficient return decomposition from demonstrations M Widrich, M Hofmarcher, VP Patil, A Bitto-Nemling, S Hochreiter Offline Reinforcement Learning Workshop NeurIPS, 2021 | 1 | 2021 |
| Contrastive Abstraction for Reinforcement Learning V Patil, M Hofmarcher, E Rumetshofer, S Hochreiter NeurIPS 2023 Workshop on Generalization in Planning, 2023 | | 2023 |
| Competition Priors for Object-Centric Learning VP Patil, A Radler, D Klotz, S Hochreiter | | 2023 |
| Guided Search for Maximum Entropy Reinforcement Learning V Patil Università della Svizzera Italiana, 2019 | | 2019 |
Sepp HochreiterInstitute for Machine Learning, Johannes Kepler University LinzVerified email at ml.jku.at
