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Workshop
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AsymQ: Asymmetric Q-loss to mitigate overestimation bias in off-policy reinforcement learning
Qinsheng Zhang · Arjun Krishna · Sehoon Ha · Yongxin Chen
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Workshop
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Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction
Jiachen Li · Shuo Cheng · Zhenyu Liao · Huayan Wang · William Yang Wang · Qinxun Bai
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Poster
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Tue 9:00
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The Pitfalls of Regularization in Off-Policy TD Learning
Gaurav Manek · J. Zico Kolter
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Poster
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On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation
Valentin Thomas
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Poster
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Wed 9:00
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Policy Gradient With Serial Markov Chain Reasoning
Edoardo Cetin · Oya Celiktutan
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Poster
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Thu 9:00
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Markovian Interference in Experiments
Vivek Farias · Andrew Li · Tianyi Peng · Andrew Zheng
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Workshop
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Efficient Multi-Horizon Learning for Off-Policy Reinforcement Learning
Raja Farrukh Ali · Nasik Muhammad Nafi · Kevin Duong · William Hsu
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Workshop
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Variance Reduction in Off-Policy Deep Reinforcement Learning using Spectral Normalization
Payal Bawa · Rafael Oliveira · Fabio Ramos
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Poster
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Wed 14:00
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Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions
Haanvid Lee · Jongmin Lee · Yunseon Choi · Wonseok Jeon · Byung-Jun Lee · Yung-Kyun Noh · Kee-Eung Kim
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Poster
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Thu 14:00
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Action-modulated midbrain dopamine activity arises from distributed control policies
Jack Lindsey · Ashok Litwin-Kumar
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Workshop
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On Convergence of Average-Reward Off-Policy Control Algorithms in Weakly-Communicating MDPs
Yi Wan · Richard Sutton
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Poster
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Thu 14:00
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Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions
Audrey Huang · Nan Jiang
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