Option Discovery using Deep Skill Chaining GK Akhil Bagaria International Conference on Learning Representations (ICLR), 2020 | 124* | 2020 |
Skill discovery for exploration and planning using deep skill graphs A Bagaria, JK Senthil, G Konidaris International Conference on Machine Learning, 521-531, 2021 | 44 | 2021 |
Robustly Learning Composable Options in Deep Reinforcement Learning A Bagaria, J Senthil, M Slivinski, G Konidaris International Joint Conferences on Artificial Intelligence Organization …, 2021 | 22 | 2021 |
Optimistic initialization for exploration in continuous control S Lobel, O Gottesman, C Allen, A Bagaria, G Konidaris Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7612-7619, 2022 | 11 | 2022 |
Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning S Lobel, A Bagaria, G Konidaris The Fortieth International Conference on Machine Learning (ICML), 0 | 9* | |
Effectively learning initiation sets in hierarchical reinforcement learning A Bagaria, B Abbatematteo, O Gottesman, M Corsaro, S Rammohan, ... Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
Scaling Goal-based Exploration via Pruning Proto-goals A Bagaria, R Jiang, R Kumar, T Schaul International Joint Conferences on Artificial Intelligence (IJCAI) 2023, 2023 | 1 | 2023 |
Sphynx: A Shared Instruction Cache Exporatory Study D Park, A Bagaria, F Hannan, E Storm, J Spjut arXiv preprint arXiv:1412.1140, 2014 | | 2014 |
Learning Portable Skills by Identifying Generalizing Features with an Attention-Based Ensemble ATDM Koch, Z Zhou, A Bagaria, H Fu, C Allen, G Konidaris | | |
Termination Classifiers for Image-Based Observation Spaces JWN Lim, A Bagaria, G Konidaris, S Sridhar | | |
[Replication] A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment A Bagaria, S Kim, A Mazzetto, R Rodriguez-Sanchez | | |