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Poster
Wed 18:30 Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
Karol Hausman · Yevgen Chebotar · Stefan Schaal · Gaurav Sukhatme · Joseph Lim
Poster
Wed 18:30 Policy Gradient With Value Function Approximation For Collective Multiagent Planning
Duc Thien Nguyen · Akshat Kumar · Hoong Chuin Lau
Poster
Wed 18:30 Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning
El Mahdi El-Mhamdi · Rachid Guerraoui · Hadrien Hendrikx · Alexandre Maurer
Poster
Mon 18:30 Towards Generalization and Simplicity in Continuous Control
Aravind Rajeswaran · Kendall Lowrey · Emanuel Todorov · Sham Kakade
Poster
Wed 18:30 Inverse Reward Design
Dylan Hadfield-Menell · Smitha Milli · Pieter Abbeel · Stuart J Russell · Anca Dragan
Poster
Wed 18:30 Learning Combinatorial Optimization Algorithms over Graphs
Elias Khalil · Hanjun Dai · Yuyu Zhang · Bistra Dilkina · Le Song
Poster
Mon 18:30 Scalable Planning with Tensorflow for Hybrid Nonlinear Domains
Ga Wu · Buser Say · Scott Sanner
Poster
Wed 18:30 Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes
Taylor Killian · Samuel Daulton · Finale Doshi-Velez · George Konidaris
Poster
Mon 18:30 Value Prediction Network
Junhyuk Oh · Satinder Singh · Honglak Lee
Poster
Wed 18:30 Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
Christoph Dann · Tor Lattimore · Emma Brunskill
Poster
Tue 18:30 Finite sample analysis of the GTD Policy Evaluation Algorithms in Markov Setting
Yue Wang · Wei Chen · Yuting Liu · Zhi-Ming Ma · Tie-Yan Liu
Poster
Wed 18:30 Thinking Fast and Slow with Deep Learning and Tree Search
Thomas Anthony · Zheng Tian · David Barber