Deep surrogate assisted generation of environments V Bhatt, B Tjanaka, M Fontaine, S Nikolaidis Advances in Neural Information Processing Systems 35, 37762-37777, 2022 | 25 | 2022 |
An Analysis of Frame-skipping in Reinforcement Learning S Kalyanakrishnan, S Aravindan, V Bagdawat, V Bhatt, H Goka, A Gupta, ... arXiv preprint arXiv:2102.03718, 2021 | 17 | 2021 |
Multi-Robot Coordination and Layout Design for Automated Warehousing Y Zhang, MC Fontaine, V Bhatt, S Nikolaidis, J Li arXiv preprint arXiv:2305.06436, 2023 | 11 | 2023 |
Inference-based deterministic messaging for multi-agent communication V Bhatt, M Buro Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11228 …, 2021 | 7 | 2021 |
Software-Level Accuracy Using Stochastic Computing With Charge-Trap-Flash Based Weight Matrix V Bhatt, S Shrivastava, T Chavan, U Ganguly 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 7 | 2020 |
Sparsity enables data and energy efficient spiking convolutional neural networks V Bhatt, U Ganguly International Conference on Artificial Neural Networks, 263-272, 2018 | 4 | 2018 |
Arbitrarily Scalable Environment Generators via Neural Cellular Automata Y Zhang, M Fontaine, V Bhatt, S Nikolaidis, J Li Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
Surrogate Assisted Generation of Human-Robot Interaction Scenarios V Bhatt, H Nemlekar, M Fontaine, B Tjanaka, H Zhang, YC Hsu, ... arXiv preprint arXiv:2304.13787, 2023 | 3 | 2023 |
Guidance Graph Optimization for Lifelong Multi-Agent Path Finding Y Zhang, H Jiang, V Bhatt, S Nikolaidis, J Li arXiv preprint arXiv:2402.01446, 2024 | 2 | 2024 |
Macro Actions in Reinforcement Learning VS Bhatt, K Krishna, V Piratla | | |