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Poster
Wed 16:00 Safe Reinforcement Learning in Constrained Markov Decision Processes
Akifumi Wachi · Yanan Sui
Poster
Wed 9:00 Hallucinative Topological Memory for Zero-Shot Visual Planning
Kara Liu · Thanard Kurutach · Christine Tung · Pieter Abbeel · Aviv Tamar
Poster
Tue 9:00 Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics
Mahsa Ghasemi · Erdem Bulgur · Ufuk Topcu
Poster
Thu 15:00 Neural Network Control Policy Verification With Persistent Adversarial Perturbation
Yuh-Shyang Wang · Tsui-Wei Weng · Luca Daniel
Poster
Tue 9:00 Lookahead-Bounded Q-learning
Ibrahim El Shar · Daniel Jiang
Poster
Thu 6:00 Multi-Agent Routing Value Iteration Network
Quinlan Sykora · Mengye Ren · Raquel Urtasun
Poster
Tue 12:00 Learning Portable Representations for High-Level Planning
Steven James · Benjamin Rosman · George Konidaris
Poster
Thu 6:00 Deep Reinforcement Learning with Smooth Policy
Qianli Shen · Yan Li · Haoming Jiang · Zhaoran Wang · Tuo Zhao
Poster
Thu 9:00 ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
Tonghan Wang · Heng Dong · Victor Lesser · Chongjie Zhang
Poster
Wed 5:00 What can I do here? A Theory of Affordances in Reinforcement Learning
Khimya Khetarpal · Zafarali Ahmed · Gheorghe Comanici · David Abel · Doina Precup
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 10:00 Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning
Tom Jurgenson · Or Avner · Edward Groshev · Aviv Tamar