26 Results

Poster
Tue 8:00 FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
Aman Sinha, Matthew O'Kelly, Hongrui Zheng, Rahul Mangharam, John Duchi, Russ Tedrake
Poster
Tue 8:00 Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate
Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang
Poster
Tue 8:00 Boosting for Control of Dynamical Systems
Naman Agarwal, Nataly Brukhim, Elad Hazan, Zhou Lu
Poster
Tue 9:00 Lookahead-Bounded Q-learning
Ibrahim El Shar, Daniel Jiang
Poster
Tue 9:00 Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics
Mahsa Ghasemi, Erdem Bulgur, Ufuk Topcu
Poster
Tue 9:00 Variational Imitation Learning with Diverse-quality Demonstrations
Voot Tangkaratt, Bo Han, Emti Khan, Masashi Sugiyama
Poster
Tue 10:00 Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning
Tom Jurgenson, Or Avner, Edward Groshev, Aviv Tamar
Poster
Tue 10:00 Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing
Yuxuan Xie, Jilles Dibangoye, Olivier Buffet
Poster
Tue 11:00 Stochastically Dominant Distributional Reinforcement Learning
John Martin, Michal Lyskawinski, Xiaohu Li, Brendan Englot
Poster
Tue 12:00 Learning Portable Representations for High-Level Planning
Steve James, Benjamin Rosman, George Konidaris
Poster
Wed 5:00 What can I do here? A Theory of Affordances in Reinforcement Learning
Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, Dave Abel, Doina Precup
Poster
Wed 5:00 The Differentiable Cross-Entropy Method
Brandon Amos, Denis Yarats
Poster
Wed 8:00 Planning to Explore via Self-Supervised World Models
Ramanan Sekar, Oleg Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak
Poster
Wed 9:00 Hallucinative Topological Memory for Zero-Shot Visual Planning
Kara Liu, Thanard Kurutach, Christine Tung, Pieter Abbeel, Aviv Tamar
Poster
Wed 9:00 Flexible and Efficient Long-Range Planning Through Curious Exploration
Aidan Curtis, Minjian Xin, Dilip Arumugam, Kevin Feigelis, Daniel Yamins
Poster
Wed 12:00 CoMic: Complementary Task Learning & Mimicry for Reusable Skills
Leonard Hasenclever, Fabio Pardo, Raia Hadsell, Nicolas Heess, Josh Merel
Poster
Wed 16:00 Safe Reinforcement Learning in Constrained Markov Decision Processes
Akifumi Wachi, Yanan Sui
Poster
Thu 6:00 Deep Reinforcement Learning with Smooth Policy
Qianli Shen, Yan Li, Haoming Jiang, Zhaoran Wang, Tuo Zhao
Poster
Thu 6:00 Multi-Agent Routing Value Iteration Network
Quinlan Sykora, Mengye Ren, Raquel Urtasun
Poster
Thu 7:00 ConQUR: Mitigating Delusional Bias in Deep Q-Learning
DiJia Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier
Poster
Thu 9:00 Symbolic Network: Generalized Neural Policies for Relational MDPs
Sankalp Garg, Aniket Bajpai, Mausam
Poster
Thu 12:00 Predictive Coding for Locally-Linear Control
Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung Bui
Poster
Thu 12:00 Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains
Johannes Fischer, Sahin Tas
Poster
Thu 12:00 Monte-Carlo Tree Search as Regularized Policy Optimization
Jean-Bastien Grill, Florent Altché, Yunhao Tang, Thomas Hubert, Michal Valko, Ioannis Antonoglou, Remi Munos
Poster
Thu 12:00 Near-optimal Regret Bounds for Stochastic Shortest Path
Aviv Rosenberg, Alon Cohen, Yishay Mansour, Haim Kaplan
Poster
Thu 15:00 Neural Network Control Policy Verification With Persistent Adversarial Perturbation
Yuh-Shyang Wang, Lily Weng, Luca Daniel