Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators
- Zaiwei Chen
- Siva Theja Maguluri
- et al.
- 2021
- NeurIPS 2021
Conference paper
Publications
1667 results for Machine Learning
Predicting Deep Neural Network Generalization with Perturbation Response Curves
- Yair Schiff
- Brian Quanz
- et al.
- 2021
- NeurIPS 2021
Conference paperSQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning
- Mattia Atzeni
- Jasmina Bogojeska
- et al.
- 2021
- NeurIPS 2021
Conference paperTaming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning
- Xin Zhang
- Zhuqing Liu
- et al.
- 2021
- NeurIPS 2021
Conference paperUnderstanding Interlocking Dynamics of Cooperative Rationalization
- Mo Yu
- Yang Zhang
- et al.
- 2021
- NeurIPS 2021
Conference paperSafe Policy Optimization with Local Generalized Linear Function Approximations
- Akifumi Wachi
- Yunyue Wei
- et al.
- 2021
- NeurIPS 2021
Conference paperSeparation results between fixed-kernel and feature-learning probability metrics
- Carles Domingo-Enrich
- Youssef Mroueh
- 2021
- NeurIPS 2021
Conference paperWhy Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks
- Shuai Zhang
- Meng Weng
- et al.
- 2021
- NeurIPS 2021
Conference paperMemory-efficient Patch-based Inference for Tiny Deep Learning
- Ji Lin
- Wei-Ming Chen
- et al.
- 2021
- NeurIPS 2021
Conference paperDoes enforcing fairness mitigate biases caused by subpopulation shift?
- Subha Maity
- Debarghya Mukherjee
- et al.
- 2021
- NeurIPS 2021
Conference paper