CoLLAs 2022
64 papers
A Dataset Perspective on Offline Reinforcement Learning
Kajetan Schweighofer, Marius-constantin Dinu, Andreas Radler, Markus Hofmarcher, Vihang Prakash Patil, Angela Bitto-nemling, Hamid Eghbal-zadeh, Sepp Hochreiter CLActive: Episodic Memories for Rapid Active Learning
Sri Aurobindo Munagala, Sidhant Subramanian, Shyamgopal Karthik, Ameya Prabhu, Anoop Namboodiri CompoSuite: A Compositional Reinforcement Learning Benchmark
Jorge A. Mendez, Marcel Hussing, Meghna Gummadi, Eric Eaton Continual Learning Through Hamilton Equations
Alessandro Betti, Lapo Faggi, Marco Gori, Matteo Tiezzi, Simone Marullo, Enrico Meloni, Stefano Melacci Continual Learning with Foundation Models: An Empirical Study of Latent Replay
Oleksiy Ostapenko, Timothee Lesort, Pau Rodriguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin Continual Novelty Detection
Rahaf Aljundi, Daniel Olmeda Reino, Nikolay Chumerin, Richard E. Turner Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks
Simone Marullo, Matteo Tiezzi, Alessandro Betti, Lapo Faggi, Enrico Meloni, Stefano Melacci Disentanglement and Generalization Under Correlation Shifts
Christina M. Funke, Paul Vicol, Kuan-chieh Wang, Matthias Kuemmerer, Richard Zemel, Matthias Bethge Energy-Based Models for Continual Learning
Shuang Li, Yilun Du, Gido Ven, Igor Mordatch Few-Shot Learning by Dimensionality Reduction in Gradient Space
Martin Gauch, Maximilian Beck, Thomas Adler, Dmytro Kotsur, Stefan Fiel, Hamid Eghbal-zadeh, Johannes Brandstetter, Johannes Kofler, Markus Holzleitner, Werner Zellinger, Daniel Klotz, Sepp Hochreiter, Sebastian Lehner Forgetting and Imbalance in Robot Lifelong Learning with Off-Policy Data
Wenxuan Zhou, Steven Bohez, Jan Humplik, Nicolas Heess, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja Heat-RL: Online Model Selection for Streaming Time-Series Anomaly Detection
Yujing Wang, Luoxin Xiong, Mingliang Zhang, Hui Xue, Qi Chen, Yaming Yang, Yunhai Tong, Congrui Huang, Bixiong Xu Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning
Michael Matthews, Mikayel Samvelyan, Jack Parker-holder, Edward Grefenstette, Tim Rocktäschel Learning Skills Diverse in Value-Relevant Features
Matthew J. A. Smith, Jelena Luketina, Kristian Hartikainen, Maximilian Igl, Shimon Whiteson Meta-Gradients in Non-Stationary Environments
Jelena Luketina, Sebastian Flennerhag, Yannick Schroecker, David Abel, Tom Zahavy, Satinder Singh MO2: Model-Based Offline Options
Sasha Salter, Markus Wulfmeier, Dhruva Tirumala, Nicolas Heess, Martin Riedmiller, Raia Hadsell, Dushyant Rao Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2
Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo On Anytime Learning at Macroscale
Lucas Caccia, Jing Xu, Myle Ott, Marcaurelio Ranzato, Ludovic Denoyer Overcoming Challenges in Leveraging GANs for Few-Shot Data Augmentation
Christopher Beckham, Issam H. Laradji, Pau Rodriguez, David Vazquez, Derek Nowrouzezahrai, Christopher Pal Practical Tradeoffs Between Memory, Compute, and Performance in Learned Optimizers
Luke Metz, C. Daniel Freeman, James Harrison, Niru Maheswaranathan, Jascha Sohl-dickstein Probing Transfer in Deep Reinforcement Learning Without Task Engineering
Andrei Alex Rusu, Sebastian Flennerhag, Dushyant Rao, Razvan Pascanu, Raia Hadsell Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning
Christian Alexander Steinparz, Thomas Schmied, Fabian Paischer, Marius-constantin Dinu, Vihang Prakash Patil, Angela Bitto-nemling, Hamid Eghbal-zadeh, Sepp Hochreiter Streaming Inference for Infinite Non-Stationary Clustering
Rylan Schaeffer, Gabrielle Kaili-may Liu, Yilun Du, Scott Linderman, Ila R. Fiete Test Sample Accuracy Scales with Training Sample Density in Neural Networks
Xu Ji, Razvan Pascanu, R. Devon Hjelm, Balaji Lakshminarayanan, Andrea Vedaldi Zipfian Environments for Reinforcement Learning
Stephanie C.Y. Chan, Andrew Kyle Lampinen, Pierre Harvey Richemond, Felix Hill