| Structured object-aware physics prediction for video modeling and planning J Kossen, K Stelzner, M Hussing, C Voelcker, K Kersting arXiv preprint arXiv:1910.02425, 2019 | 66 | 2019 |
| Value Gradient weighted Model-Based Reinforcement Learning C Voelcker, V Liao, A Garg, A Farahmand International Conference on Learning Representations, 2022 | 26 | 2022 |
| Queer in AI: A case study in community-led participatory AI OO Queerinai, A Ovalle, A Subramonian, A Singh, C Voelcker, ... Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 18 | 2023 |
| Dissecting Deep RL with High Update Ratios: Combatting Value Overestimation and Divergence M Hussing, C Voelcker, I Gilitschenski, A Farahmand, E Eaton arXiv preprint arXiv:2403.05996, 2024 | 3 | 2024 |
| VIPer: Iterative Value-Aware Model Learning on the Value Improvement Path R Abachi, CA Voelcker, A Garg, A Farahmand Decision Awareness in Reinforcement Learning Workshop at ICML 2022, 2022 | 3 | 2022 |
| DeepNotebooks: Deep Probabilistic Models Construct Python Notebooks for Reporting Datasets C Voelcker, A Molina, J Neumann, D Westermann, K Kersting ECMLPKDD Workshop on Automating Data Science, 2019 | 3 | 2019 |
| -AC: Learning latent decision-aware models for reinforcement learning in continuous state-spaces CA Voelcker, A Ahmadian, R Abachi, I Gilitschenski, A Farahmand arXiv preprint arXiv:2306.17366, 2023 | 1 | 2023 |
| When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning C Voelcker, T Kastner, I Gilitschenski, A Farahmand arXiv preprint arXiv:2406.17718, 2024 | | 2024 |
| Queer In AI: A Case Study in Community-Led Participatory AI OOFQIN AI, A OVALLE, A SUBRAMONIAN, A SINGH, C VOELCKER, ... arXiv preprint arXiv:2303.16972, 2023 | | 2023 |
| Local-Forward: Towards Biological Plausibility in Deep Reinforcement Learning J Guan, SE Verch, CA Voelcker, EC Jackson, N Papernot, ... | | |
Amir-massoud FarahmandUniversity of Toronto在 cs.toronto.edu 的电子邮件经过验证
