108 Results

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