Hongyao Tang

发表

Q-value Path Decomposition for Deep Multiagent Reinforcement Learning pdf

Yujing Hu, Jianye Hao, Changjie Fan, 2020, ICML.

A real-time ensemble classification algorithm for time series data

Jianye Hao, Zan Wang, Xianglei Zhu, 2017, 2017 IEEE International Conference on Agents (ICA).

Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning pdf

Jianye Hao, Yaodong Yang, Wulong Liu, 2020, ArXiv.

Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework pdf

Yujing Hu, Jianye Hao, Zhaopeng Meng, 2020, ArXiv.

Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach

Yujing Hu, Hongyao Tang, Tangjie Lv, 2020, AAMAS.

An Optimal Rewiring Strategy for Reinforcement Social Learning in Cooperative Multiagent Systems pdf

Li Wang, Jianye Hao, Zan Wang, 2018, ArXiv.

What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator pdf

Chen Chen, Yaodong Yang, Wulong Liu, 2020, ArXiv.

Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction pdf

Pengfei Chen, Li Wang, Jianye Hao, 2019, ArXiv.

Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces

Jianye Hao, Yingfeng Chen, Hongyao Tang, 2019, IJCAI.

An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning

Li Wang, Jianye Hao, Zan Wang, 2019, AAMAS.

Large Scale Deep Reinforcement Learning in War-games

Yi Ma, Jianye Hao, Hongyao Tang, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning

Chen Chen, Jianye Hao, Wulong Liu, 2019, DAI.

Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning pdf

Jianye Hao, Chen Chen, Xidong Feng, 2020, ArXiv.

Hierarchical Deep Multiagent Reinforcement Learning pdf

Li Wang, Yan Zheng, Jianye Hao, 2018, ArXiv.

KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge pdf

Peng Zhang, Yi Ma, Jianye Hao, 2020, IJCAI.

KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge

Yan Zheng, Jianye Hao, Weixun Wang, 2020, IJCAI.

Improving Multi-agent Reinforcement Learning with Imperfect Human Knowledge

Hongyao Tang, Yuan Li, Xiaoxu Han, 2020, ICANN.

ED2: An Environment Dynamics Decomposition Framework for World Model Construction pdf

Tianpei Yang, Hongyao Tang, Haiyin Piao, 2021, ArXiv.

Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning

Jianye Hao, Chen Chen, Xidong Feng, 2020, AAAI.

Exploration in Deep Reinforcement Learning: A Comprehensive Survey pdf

Tianpei Yang, Chenjia Bai, Hongyao Tang, 2021, ArXiv.

Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning

Hongyao Tang, Jianye Hao, Yan Zheng, 2021, DAI.

HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation pdf

Hongyao Tang, Li Wang, Jianye Hao, 2021, ArXiv.

Addressing Action Oscillations through Learning Policy Inertia pdf

Jianye Hao, Zhaopeng Meng, Chen Chen, 2021, AAAI.

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction

Jianye Hao, Zhaopeng Meng, Chen Chen, 2021, AAAI.

Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning pdf

Jianye Hao, Guangyong Chen, Hongyao Tang, 2020, ArXiv.

KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge pdf

Yan Zheng, Jianye Hao, Weixun Wang, 2020, ArXiv.