Yangchen Pan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 43

Top Topics

Temporal Difference

Policy Gradient

Reinforcement Learning

Top Venues

Publications

Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip H. S. Torr
An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models. CoRR (2024)
Yudong Luo, Yangchen Pan, Han Wang, Philip H. S. Torr, Pascal Poupart
A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization. CoRR (2024)
Zhiyao Luo, Mingcheng Zhu, Fenglin Liu, Jiali Li, Yangchen Pan, Jiandong Zhou, Tingting Zhu
DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime. CoRR (2024)
Zhiyao Luo, Yangchen Pan, Peter J. Watkinson, Tingting Zhu
Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination. CoRR (2024)
Yudong Luo, Guiliang Liu, Pascal Poupart, Yangchen Pan
An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient. NeurIPS (2023)
Avery Ma, Yangchen Pan, Amir-massoud Farahmand
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods. CoRR (2023)
Xutong Zhao, Yangchen Pan, Chenjun Xiao, Sarath Chandar, Janarthanan Rajendran
Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learning. UAI (2023)
Samuel Neumann, Sungsu Lim, Ajin George Joseph, Yangchen Pan, Adam White, Martha White
Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement. ICLR (2023)
Yudong Luo, Guiliang Liu, Pascal Poupart, Yangchen Pan
An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient. CoRR (2023)
Chenjun Xiao, Han Wang, Yangchen Pan, Adam White, Martha White
The In-Sample Softmax for Offline Reinforcement Learning. ICLR (2023)
Avery Ma, Amir-massoud Farahmand, Yangchen Pan, Philip Torr, Jindong Gu
Improving Adversarial Transferability via Model Alignment. CoRR (2023)
Xutong Zhao, Yangchen Pan, Chenjun Xiao, Sarath Chandar, Janarthanan Rajendran
Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning. CoRR (2023)
Chenjun Xiao, Han Wang, Yangchen Pan, Adam White, Martha White
The In-Sample Softmax for Offline Reinforcement Learning. CoRR (2023)
Avery Ma, Yangchen Pan, Amir-massoud Farahmand
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods. Trans. Mach. Learn. Res. 2023 (2023)
Qingfeng Lan, Yangchen Pan, Jun Luo, A. Rupam Mahmood
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation. Trans. Mach. Learn. Res. 2023 (2023)
Qingfeng Lan, Yangchen Pan, Jun Luo, A. Rupam Mahmood
Memory-efficient Reinforcement Learning with Knowledge Consolidation. CoRR (2022)
Liangliang Xu, Daoming Lyu, Yangchen Pan, Aiwen Jiang, Bo Liu
TOPS: Transition-Based Volatility-Reduced Policy Search. AAMAS Workshops (2022)
Shivam Garg, Samuele Tosatto, Yangchen Pan, Martha White, Rupam Mahmood
An Alternate Policy Gradient Estimator for Softmax Policies. AISTATS (2022)
Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand, Martha White, Hengshuai Yao, Mohsen Rohani, Jun Luo
Understanding and mitigating the limitations of prioritized experience replay. UAI (2022)
Ehsan Imani, Guojun Zhang, Jun Luo, Pascal Poupart, Yangchen Pan
Label Alignment Regularization for Distribution Shift. CoRR (2022)
Yangchen Pan, Kirby Banman, Martha White
Fuzzy Tiling Activations: A Simple Approach to Learning Sparse Representations Online. ICLR (2021)
Shivam Garg, Samuele Tosatto, Yangchen Pan, Martha White, A. Rupam Mahmood
An Alternate Policy Gradient Estimator for Softmax Policies. CoRR (2021)
Qingfeng Lan, Yangchen Pan, Alona Fyshe, Martha White
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning. CoRR (2020)
Jincheng Mei, Yangchen Pan, Martha White, Amir-massoud Farahmand, Hengshuai Yao
Beyond Prioritized Replay: Sampling States in Model-Based RL via Simulated Priorities. CoRR (2020)
Qingfeng Lan, Yangchen Pan, Alona Fyshe, Martha White
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning. ICLR (2020)
Yangchen Pan, Ehsan Imani, Martha White, Amir-massoud Farahmand
An implicit function learning approach for parametric modal regression. CoRR (2020)
Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand
Frequency-based Search-control in Dyna. ICLR (2020)
Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand
Frequency-based Search-control in Dyna. CoRR (2020)
Yangchen Pan, Ehsan Imani, Amir-massoud Farahmand, Martha White
An implicit function learning approach for parametric modal regression. NeurIPS (2020)
Yangchen Pan
Deep Tile Coder: an Efficient Sparse Representation Learning Approach with applications in Reinforcement Learning. CoRR (2019)
Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand, Martha White
Hill Climbing on Value Estimates for Search-control in Dyna. IJCAI (2019)
Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand, Martha White
Hill Climbing on Value Estimates for Search-control in Dyna. CoRR (2019)
Yangchen Pan, Amir-massoud Farahmand, Martha White, Saleh Nabi, Piyush Grover, Daniel Nikovski
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control. ICML (2018)
Sungsu Lim, Ajin Joseph, Lei Le, Yangchen Pan, Martha White
Actor-Expert: A Framework for using Action-Value Methods in Continuous Action Spaces. CoRR (2018)
Yangchen Pan, Muhammad Zaheer, Adam White, Andrew Patterson, Martha White
Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains. IJCAI (2018)
Yangchen Pan, Amir-massoud Farahmand, Martha White, Saleh Nabi, Piyush Grover, Daniel Nikovski
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control. CoRR (2018)
Yangchen Pan, Muhammad Zaheer, Adam White, Andrew Patterson, Martha White
Organizing Experience: A Deeper Look at Replay Mechanisms for Sample-based Planning in Continuous State Domains. CoRR (2018)
Matthew Schlegel, Yangchen Pan, Jiecao Chen, Martha White
Adapting Kernel Representations Online Using Submodular Maximization. ICML (2017)
Yangchen Pan, Erfan Sadeqi Azer, Martha White
Effective sketching methods for value function approximation. CoRR (2017)
Yangchen Pan, Erfan Sadeqi Azer, Martha White
Effective sketching methods for value function approximation. UAI (2017)
Yangchen Pan, Adam M. White, Martha White
Accelerated Gradient Temporal Difference Learning. AAAI (2017)
Clement Gehring, Yangchen Pan, Martha White
Incremental Truncated LSTD. IJCAI (2016)
Yangchen Pan, Adam M. White, Martha White
Accelerated Gradient Temporal Difference Learning. CoRR (2016)