Jianye Hao

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研究焦点

主要成就

代表论文

1. 1
   Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain

   158 次引用 · 2023
2. 2
   Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets

   30 次引用 · 2020
3. 3
   Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain

   13 次引用 · 2021
4. 4
   A Survey on Vision–Language–Action Models for Embodied AI

   11 次引用 · 2026
5. 5
   HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via\n Hybrid Action Representation

   10 次引用 · 2021
6. 6
   Relational Navigation Learning in Continuous Action Space among Crowds

   8 次引用 · 2021
7. 7
   Prototypical Context-Aware Dynamics for Generalization in Visual Control With Model-Based Reinforcement Learning

   7 次引用 · 2024
8. 8
   A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning

   6 次引用 · 2024
9. 9
   Accelerating deep reinforcement learning via knowledge-guided policy network

   5 次引用 · 2023
10. 10
    Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets

    5 次引用 · 2020

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