A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
- Dong Ki Kim
- Miao Liu
- et al.
- 2021
- ICML 2021
Publications
39 results at ICML 2021
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks
- Xin Zhao
- Zeru Zhang
- et al.
- 2021
- ICML 2021
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
- Felix Petersen
- Christian Borgelt
- et al.
- 2021
- ICML 2021
Auto-NBA: Efficient and Effective Search Over The Joint Space of Networks, Bitwidths, and Accelerators
- Yonggan Fu
- Yongan Zhang
- et al.
- 2021
- ICML 2021
Reinforcement Learning with Logical Action-Aware Features for Polymer Discovery
- Sarathkrishna Swaminathan
- Dmitry Zubarev
- et al.
- 2021
- ICML 2021
Reimagining GNN Explanations with ideas from Tabular Data
- Anjali Singh
- Shamanth R Nayak K
- et al.
- 2021
- ICML 2021
Leveraging Theoretical Tradeoffs in Hyperparameter Selection for Improved Empirical Performance
- Horst Samulowitz
- Parikshit Ram
- et al.
- 2021
- ICML 2021
A comparative study of stochastic and deep generative models for multisite precipitation synthesis
- Bianca Zadrozny
- Dario Augusto Borges Oliveira
- et al.
- 2021
- ICML 2021
SubsetGAN: Pattern detection in the activation space for Identifying Synthesised Content
- 2021
- ICML 2021
Reducing greenhouse gas emissions by optimizing room temperature set-points
- Yuan Cai
- Jasmina Burek
- et al.
- 2021
- ICML 2021