Style de citation APA (7e éd.)

Han, Y., Zhang, L., Meng, D., & Zhang, Z. (2025). Hybrid Differential Reward: Combining Temporal Difference and Action Gradients for Efficient Multi-Agent Reinforcement Learning in Cooperative Driving.

Style de citation Chicago (17e éd.)

Han, Ye, Lijun Zhang, Dejian Meng, et Zhuang Zhang. Hybrid Differential Reward: Combining Temporal Difference and Action Gradients for Efficient Multi-Agent Reinforcement Learning in Cooperative Driving. 2025.

Style de citation MLA (9e éd.)

Han, Ye, et al. Hybrid Differential Reward: Combining Temporal Difference and Action Gradients for Efficient Multi-Agent Reinforcement Learning in Cooperative Driving. 2025.