Strategy and benchmark for converting deep q-networks to event-driven spiking neural networks W Tan, D Patel, R Kozma Proceedings of the AAAI conference on artificial intelligence 35 (11), 9816-9824, 2021 | 36 | 2021 |
MUSEFood: Multi-sensor-based food volume estimation on smartphones J Gao, W Tan, L Ma, Y Wang, W Tang 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2019 | 32* | 2019 |
Asynchronous actor-critic for multi-agent reinforcement learning Y Xiao, W Tan, C Amato Advances in Neural Information Processing Systems 35, 4385-4400, 2022 | 20 | 2022 |
Towards general computer control: A multimodal agent for red dead redemption ii as a case study W Tan, Z Ding, W Zhang, B Li, B Zhou, J Yue, H Xia, J Jiang, L Zheng, ... arXiv preprint arXiv:2403.03186, 2024 | 9 | 2024 |
True knowledge comes from practice: Aligning llms with embodied environments via reinforcement learning W Tan, W Zhang, S Liu, L Zheng, X Wang, B An arXiv preprint arXiv:2401.14151, 2024 | 7 | 2024 |
Optimization methods for improved efficiency and performance of Deep Q-Networks upon conversion to neuromorphic population platforms W Tan, R Kozma, D Patel Knowledge-Based Systems 241, 108257, 2022 | 4 | 2022 |
On optimizing interventions in shared autonomy W Tan, D Koleczek, S Pradhan, N Perello, V Chettiar, V Rohra, A Rajaram, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5341-5349, 2022 | 3 | 2022 |
Asynchronous multi-agent actor-critic with macro-actions Y Xiao, W Tan, C Amato | 1 | 2022 |
Intervention Aware Shared Autonomy W Tan, D Koleczek, S Pradhan, N Perello, V Chettiar, N Ma, A Rajaram, ... | 1 | 2021 |
TWOSOME: An Efficient Online Framework to Align LLMs with Embodied Environments via Reinforcement Learning W Tan, W Zhang, S Liu, L Zheng, X Wang, B An International Journal of Artificial Intelligence and Robotics Research, 2024 | | 2024 |
Cooperative Multi-Agent Reinforcement Learning with Human in the Loop W Tan, S Pradhan, D Koleczek | | |