Zongzhang Zhang

发表

Trajectory Sampling Value Iteration: Improved Dyna Search for MDPs

Quan Liu, Yicheng Zhou, Qi-ming Fu, 2015, AAMAS.

ACGAIL: Imitation Learning About Multiple Intentions with Auxiliary Classifier GANs

Zongzhang Zhang, Jiahao Lin, 2018, PRICAI.

Double Replay Buffers with Restricted Gradient

Zongzhang Zhang, Linjing Zhang, Zongzhang Zhang, 2020, ICONIP.

PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces

David Hsu, Wee Sun Lee, Zongzhang Zhang, 2015, SOCS.

Efficient reinforcement learning in continuous state and action spaces with Dyna and policy approximation

Quan Liu, Qiming Fu, Zongzhang Zhang, 2018, Frontiers of Computer Science.

A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents

Yan Zheng, Jianye Hao, Zhaopeng Meng, 2018, NeurIPS.

Thompson Sampling Based Monte-Carlo Planning in POMDPs

Feng Wu, Xiaoping Chen, Zongzhang Zhang, 2014, ICAPS.

Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract)

Chong Jiang, Zongzhang Zhang, Changjie Fan, 2020, AAAI.

Deep Q-Learning with Prioritized Sampling

Peng Zhang, Quan Liu, Zongzhang Zhang, 2016, ICONIP.

Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments pdf

Yan Zheng, Jianye Hao, Zongzhang Zhang, 2018, PRICAI.

Accelerating Point-Based POMDP Algorithms via Greedy Strategies

Xiaoping Chen, Zongzhang Zhang, Zongzhang Zhang, 2010, SIMPAR.

Monte Carlo Tree Search for Policy Optimization

Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer, Zongzhang Zhang, 2019, IJCAI.

Policy graph pruning and optimization in Monte Carlo Value Iteration for continuous-state POMDPs

Quan Liu, Zongzhang Zhang, Zhiyuan Pan, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Covering Number: Analyses for Approximate Continuous-state POMDP Planning (Extended Abstract)

Quan Liu, Zongzhang Zhang, Zongzhang Zhang, 2016, AAMAS.

Covering Number as a Complexity Measure for POMDP Planning and Learning

Xiaoping Chen, Michael L. Littman, Zongzhang Zhang, 2012, AAAI.

Recency-Weighted Acceleration for Continuous Control Through Deep Reinforcement Learning

Xiaofang Zhang, Zhen Wu, Zongzhang Zhang, 2020, International Conference on Neural Information Processing.

Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets

Bin Wang, Jianye Hao, Wulong Liu, 2020, IJCAI.

Intelligent Model Learning Based on Variance for Bayesian Reinforcement Learning

Hui Wang, Xiaofang Zhang, Quan Liu, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

Covering Number for Efficient Heuristic-based POMDP Planning

David Hsu, Wee Sun Lee, Zongzhang Zhang, 2014, ICML.

Efficient Deep Reinforcement Learning through Policy Transfer pdf

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

Decision-Theoretic Planning in Partially Observable Environments

Mykel J. Kochenderfer, Zongzhang Zhang, Zongzhang Zhang, 2018, Interactions in Multiagent Systems.

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer

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

Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract)

Chong Jiang, Zongzhang Zhang, Zixuan Chen, 2020, AAAI.

Experience Selection in Multi-agent Deep Reinforcement Learning

Zongzhang Zhang, Yishen Wang, Zongzhang Zhang, 2019, 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI).

Asynchronous Value Iteration Network

Zongzhang Zhang, Zhiyuan Pan, Zixuan Chen, 2018, ICONIP.

Reasoning and predicting POMDP planning complexity via covering numbers

Xiaofang Zhang, Quan Liu, Qi-ming Fu, 2016, Frontiers of Computer Science.

Weighted Double Q-learning

Mykel J. Kochenderfer, Zongzhang Zhang, Zhiyuan Pan, 2017, IJCAI.

Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets pdf

Jianye Hao, Bin Wang, Wulong Liu, 2020, IJCAI.

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer

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

Hierarchical Deep Multiagent Reinforcement Learning pdf

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

Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract)

Zongzhang Zhang, Yang Yu, Wulong Liu, 2021, AAAI.

LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract)

Zongzhang Zhang, Yang Yu, Guoyu Yang, 2021, AAAI.

Efficient Deep Reinforcement Learning through Policy Transfer pdf

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