Yangchen Pan - RankMe

53 papers A* 16A 4Journal 31Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models (Abstract Reprint). AAAI Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip Torr
2026	J	`jnl`	Gradient Residual Connections. CoRR Yangchen Pan, Qizhen Ying, Philip Torr, Bo Liu
2025	J	`jnl`	An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models. J. Artif. Intell. Res. Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip H. S. Torr
2025	J	`jnl`	Measures of Variability for Risk-averse Policy Gradient. CoRR Yudong Luo, Yangchen Pan, Jiaqi Tan, Pascal Poupart
2025	A*	`conf`	PANDAS: Improving Many-shot Jailbreaking via Positive Affirmation, Negative Demonstration, and Adaptive Sampling. ICML Avery Ma, Yangchen Pan, Amir-massoud Farahmand
2025	J	`jnl`	PANDAS: Improving Many-shot Jailbreaking via Positive Affirmation, Negative Demonstration, and Adaptive Sampling. CoRR Avery Ma, Yangchen Pan, Amir-massoud Farahmand
2024	J	`jnl`	A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization. RLJ Yudong Luo, Yangchen Pan, Han Wang, Philip Torr, Pascal Poupart
2024	J	`jnl`	A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization. CoRR Yudong Luo, Yangchen Pan, Han Wang, Philip Torr, Pascal Poupart
2024	J	`jnl`	An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models. CoRR Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip Torr
2024	J	`jnl`	DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime. CoRR Zhiyao Luo, Mingcheng Zhu, Fenglin Liu, Jiali Li, Yangchen Pan, Jiandong Zhou, Tingting Zhu
2024	—	`conf`	Improving Adversarial Transferability via Model Alignment. ECCV (62) Avery Ma, Amir-massoud Farahmand, Yangchen Pan, Philip Torr, Jindong Gu
2024	J	`jnl`	Label Alignment Regularization for Distribution Shift. J. Mach. Learn. Res. Ehsan Imani, Guojun Zhang, Runjia Li, Jun Luo, Pascal Poupart, Philip H. S. Torr, Yangchen Pan
2024	A*	`conf`	Position: Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination. ICML Zhiyao Luo, Yangchen Pan, Peter J. Watkinson, Tingting Zhu
2024	J	`jnl`	Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination. CoRR Zhiyao Luo, Yangchen Pan, Peter J. Watkinson, Tingting Zhu
2023	A*	`conf`	An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient. NeurIPS Yudong Luo, Guiliang Liu, Pascal Poupart, Yangchen Pan
2023	J	`jnl`	An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient. CoRR Yudong Luo, Guiliang Liu, Pascal Poupart, Yangchen Pan
2023	J	`jnl`	Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning. CoRR Xutong Zhao, Yangchen Pan, Chenjun Xiao, Sarath Chandar, Janarthanan Rajendran
2023	A	`conf`	Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learning. UAI Xutong Zhao, Yangchen Pan, Chenjun Xiao, Sarath Chandar, Janarthanan Rajendran
2023	A*	`conf`	Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement. ICLR Samuel Neumann, Sungsu Lim, Ajin George Joseph, Yangchen Pan, Adam White, Martha White
2023	J	`jnl`	Improving Adversarial Transferability via Model Alignment. CoRR Avery Ma, Amir-massoud Farahmand, Yangchen Pan, Philip H. S. Torr, Jindong Gu
2023	J	`jnl`	Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation. Trans. Mach. Learn. Res. Qingfeng Lan, Yangchen Pan, Jun Luo, A. Rupam Mahmood
2023	A*	`conf`	The In-Sample Softmax for Offline Reinforcement Learning. ICLR Chenjun Xiao, Han Wang, Yangchen Pan, Adam White, Martha White
2023	J	`jnl`	The In-Sample Softmax for Offline Reinforcement Learning. CoRR Chenjun Xiao, Han Wang, Yangchen Pan, Adam White, Martha White
2023	J	`jnl`	Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods. CoRR Avery Ma, Yangchen Pan, Amir-massoud Farahmand
2023	J	`jnl`	Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods. Trans. Mach. Learn. Res. Avery Ma, Yangchen Pan, Amir-massoud Farahmand
2022	A	`conf`	An Alternate Policy Gradient Estimator for Softmax Policies. AISTATS Shivam Garg, Samuele Tosatto, Yangchen Pan, Martha White, Rupam Mahmood
2022	J	`jnl`	Label Alignment Regularization for Distribution Shift. CoRR Ehsan Imani, Guojun Zhang, Jun Luo, Pascal Poupart, Yangchen Pan
2022	J	`jnl`	Memory-efficient Reinforcement Learning with Knowledge Consolidation. CoRR Qingfeng Lan, Yangchen Pan, Jun Luo, A. Rupam Mahmood
2022	—	`conf`	TOPS: Transition-Based Volatility-Reduced Policy Search. AAMAS Workshops Liangliang Xu, Daoming Lyu, Yangchen Pan, Aiwen Jiang, Bo Liu
2022	A	`conf`	Understanding and mitigating the limitations of prioritized experience replay. UAI Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand, Martha White, Hengshuai Yao, Mohsen Rohani, Jun Luo
2021	J	`jnl`	An Alternate Policy Gradient Estimator for Softmax Policies. CoRR Shivam Garg, Samuele Tosatto, Yangchen Pan, Martha White, A. Rupam Mahmood
2021	A*	`conf`	Fuzzy Tiling Activations: A Simple Approach to Learning Sparse Representations Online. ICLR Yangchen Pan, Kirby Banman, Martha White
2020	A*	`conf`	An implicit function learning approach for parametric modal regression. NeurIPS Yangchen Pan, Ehsan Imani, Amir-massoud Farahmand, Martha White
2020	J	`jnl`	An implicit function learning approach for parametric modal regression. CoRR Yangchen Pan, Ehsan Imani, Martha White, Amir-massoud Farahmand
2020	J	`jnl`	Beyond Prioritized Replay: Sampling States in Model-Based RL via Simulated Priorities. CoRR Jincheng Mei, Yangchen Pan, Martha White, Amir-massoud Farahmand, Hengshuai Yao
2020	A*	`conf`	Frequency-based Search-control in Dyna. ICLR Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand
2020	J	`jnl`	Frequency-based Search-control in Dyna. CoRR Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand
2020	A*	`conf`	Maxmin Q-learning: Controlling the Estimation Bias of Q-learning. ICLR Qingfeng Lan, Yangchen Pan, Alona Fyshe, Martha White
2020	J	`jnl`	Maxmin Q-learning: Controlling the Estimation Bias of Q-learning. CoRR Qingfeng Lan, Yangchen Pan, Alona Fyshe, Martha White
2019	J	`jnl`	Deep Tile Coder: an Efficient Sparse Representation Learning Approach with applications in Reinforcement Learning. CoRR Yangchen Pan
2019	A*	`conf`	Hill Climbing on Value Estimates for Search-control in Dyna. IJCAI Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand, Martha White
2019	J	`jnl`	Hill Climbing on Value Estimates for Search-control in Dyna. CoRR Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand, Martha White
2018	J	`jnl`	Actor-Expert: A Framework for using Action-Value Methods in Continuous Action Spaces. CoRR Sungsu Lim, Ajin Joseph, Lei Le, Yangchen Pan, Martha White
2018	J	`jnl`	Organizing Experience: A Deeper Look at Replay Mechanisms for Sample-based Planning in Continuous State Domains. CoRR Yangchen Pan, Muhammad Zaheer, Adam White, Andrew Patterson, Martha White
2018	A*	`conf`	Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains. IJCAI Yangchen Pan, Muhammad Zaheer, Adam White, Andrew Patterson, Martha White
2018	A*	`conf`	Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control. ICML Yangchen Pan, Amir-massoud Farahmand, Martha White, Saleh Nabi, Piyush Grover, Daniel Nikovski
2018	J	`jnl`	Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control. CoRR Yangchen Pan, Amir-massoud Farahmand, Martha White, Saleh Nabi, Piyush Grover, Daniel Nikovski
2017	A*	`conf`	Accelerated Gradient Temporal Difference Learning. AAAI Yangchen Pan, Adam White, Martha White
2017	A*	`conf`	Adapting Kernel Representations Online Using Submodular Maximization. ICML Matthew Schlegel, Yangchen Pan, Jiecao Chen, Martha White
2017	A	`conf`	Effective sketching methods for value function approximation. UAI Yangchen Pan, Erfan Sadeqi Azer, Martha White
2017	J	`jnl`	Effective sketching methods for value function approximation. CoRR Yangchen Pan, Erfan Sadeqi Azer, Martha White
2016	J	`jnl`	Accelerated Gradient Temporal Difference Learning. CoRR Yangchen Pan, Adam White, Martha White
2016	A*	`conf`	Incremental Truncated LSTD. IJCAI Clement Gehring, Yangchen Pan, Martha White