| Co-generation of game levels and game-playing agents A Dharna, J Togelius, LB Soros Proceedings of the AAAI Conference on Artificial Intelligence and …, 2020 | 20 | 2020 |
| Can Machines “Learn” Halide Perovskite Crystal Formation without Accurate Physicochemical Features? IM Pendleton, MK Caucci, M Tynes, A Dharna, MAN Nellikkal, Z Li, ... The Journal of Physical Chemistry C 124 (25), 13982-13992, 2020 | 13 | 2020 |
| Transfer dynamics in emergent evolutionary curricula A Dharna, AK Hoover, J Togelius, LB Soros IEEE Transactions on Games 15 (2), 157-170, 2022 | 4 | 2022 |
| Watts: Infrastructure for Open-Ended Learning A Dharna, C Summers, R Dasari, J Togelius, AK Hoover arXiv preprint arXiv:2204.13250, 2022 | 1 | 2022 |
| Topological Decompositions Enhance Efficiency of Reinforcement Learning MJ Catanzaro, A Dharna, J Hineman, JB Polly, K McGoff, AD Smith, ... 2024 IEEE Aerospace Conference, 1-8, 2024 | | 2024 |
| Control and Creation: Coevolution of Game Levels and Gameplaying Agents A Dharna Fordham University, 2020 | | 2020 |
| Can machines ‘learn’halide perovskite crystal formation without accurate physicochemical IM Pendleton, MK Caucci, M Tynes, A Dharna, M Ani, N Nellikkal, Z Li, ... | | |
