Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward
- Hairi FNU
- Jia Liu
- et al.
- 2022
- ICLR 2022
Publications
Look at What I’m Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos
- Reuben Tan
- Bryan Plummer
- et al.
- 2021
- NeurIPS 2021
Catastrophic Data Leakage in Vertical Federated Learning
- Xiao Jin
- Pin-Yu Chen
- et al.
- 2021
- NeurIPS 2021
STAR: A Benchmark for Situated Reasoning in Real-World Videos
- Bo Wu
- Shoubin Yu
- et al.
- 2021
- NeurIPS 2021
Does enforcing fairness mitigate biases caused by subpopulation shift?
- Subha Maity
- Debarghya Mukherjee
- et al.
- 2021
- NeurIPS 2021
Safe Policy Optimization with Local Generalized Linear Function Approximations
- Akifumi Wachi
- Yunyue Wei
- et al.
- 2021
- NeurIPS 2021
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
- Ruchir Puri
- David Kung
- et al.
- 2021
- NeurIPS 2021
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
- Kai Xu
- Akash Srivastava
- et al.
- 2021
- NeurIPS 2021
On sensitivity of meta-learning to support data
- Mayank Agarwal
- Mikhail Yurochkin
- et al.
- 2021
- NeurIPS 2021
Private learning implies quantum stability
- Srinivasan Arunachalam
- Yihui Quek
- et al.
- 2021
- NeurIPS 2021