Workshop

Out-of-Distribution Generalization in Algorithmic Reasoning Through Curriculum Learning
Andrew Nam · Mustafa Abdool · Trevor Maxfield · James McClelland

Poster

Wed 14:00

Task-level Differentially Private Meta Learning
Xinyu Zhou · Raef Bassily

Poster

Thu 9:00

Representing Spatial Trajectories as Distributions
Didac Suris Coll-Vinent · Carl Vondrick

Poster

Thu 9:00

3DOS: Towards 3D Open Set Learning - Benchmarking and Understanding Semantic Novelty Detection on Point Clouds
Antonio Alliegro · Francesco Cappio Borlino · Tatiana Tommasi

Poster

Tue 9:00

Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems
Shicheng Liu · Minghui Zhu

Workshop

Perturbed Quantile Regression for Distributional Reinforcement Learning
Taehyun Cho · Seungyub Han · Heesoo Lee · Kyungjae Lee · Jungwoo Lee

Workshop

Tailored Overlap for Learning Under Distribution Shift
David Bruns-Smith · Alexander D'Amour · Avi Feller · Steve Yadlowsky

Poster

Wed 9:00

Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game
Zhiyuan Yao · Zihan Ding

Poster

Wed 9:00

Distributionally Adaptive Meta Reinforcement Learning
Anurag Ajay · Abhishek Gupta · Dibya Ghosh · Sergey Levine · Pulkit Agrawal

Poster

Wed 14:00

MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control
Xuehai Pan · Mickel Liu · Fangwei Zhong · Yaodong Yang · Song-Chun Zhu · Yizhou Wang

Poster

Thu 14:00

The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning
Yunhao Tang · Remi Munos · Mark Rowland · Bernardo Avila Pires · Will Dabney · Marc Bellemare

Poster

Wed 9:00

Learning from Distributed Users in Contextual Linear Bandits Without Sharing the Context
Osama Hanna · Lin Yang · Christina Fragouli