Yangchen Pan
According to our database1,
Yangchen Pan
authored at least 30 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime.
CoRR, 2024
CoRR, 2024
An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models.
CoRR, 2024
A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization.
CoRR, 2024
2023
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods.
Trans. Mach. Learn. Res., 2023
Trans. Mach. Learn. Res., 2023
Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the Autonomous Agents and Multiagent Systems. Best and Visionary Papers, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Fuzzy Tiling Activations: A Simple Approach to Learning Sparse Representations Online.
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Beyond Prioritized Replay: Sampling States in Model-Based RL via Simulated Priorities.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
Deep Tile Coder: an Efficient Sparse Representation Learning Approach with applications in Reinforcement Learning.
CoRR, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
2018
Actor-Expert: A Framework for using Action-Value Methods in Continuous Action Spaces.
CoRR, 2018
Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control.
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016