| 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 | 33 | 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 | 27 | 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 | 17 | 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 | 5 | 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 |
| True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning W Tan, W Zhang, S Liu, L Zheng, X Wang, B An The Twelfth International Conference on Learning Representations, 2023 | 2 | 2023 |
| 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 | 2 | 2022 |
| 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 | 1 | 2024 |
| Asynchronous multi-agent actor-critic with macro-actions Y Xiao, W Tan, C Amato | 1 | 2021 |
| Intervention Aware Shared Autonomy W Tan, D Koleczek, S Pradhan, N Perello, V Chettiar, N Ma, A Rajaram, ... | 1 | 2021 |
| Cooperative Multi-Agent Reinforcement Learning with Human in the Loop W Tan, S Pradhan, D Koleczek | | |
