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Poster
Wed 18:30 Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning
El Mahdi El-Mhamdi · Rachid Guerraoui · Hadrien Hendrikx · Alexandre Maurer
Spotlight
Wed 17:15 Repeated Inverse Reinforcement Learning
Kareem Amin · Nan Jiang · Satinder Singh
Spotlight
Wed 17:30 EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
Justin Fu · John Co-Reyes · Sergey Levine
Poster
Wed 18:30 Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes
Taylor Killian · Samuel Daulton · Finale Doshi-Velez · George Konidaris
Workshop
Sat 13:30 Hierarchical Imitation and Reinforcement Learning for Robotics (Jan Peters)
Jan Peters
Workshop
Sat 8:40 Learning to optimize with reinforcement learning
Jitendra Malik
Poster
Wed 18:30 Regret Minimization in MDPs with Options without Prior Knowledge
Ronan Fruit · Matteo Pirotta · Alessandro Lazaric · Emma Brunskill
Poster
Mon 18:30 Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning
Shixiang (Shane) Gu · Timothy Lillicrap · Richard Turner · Zoubin Ghahramani · Bernhard Schölkopf · Sergey Levine
Poster
Tue 18:30 Hindsight Experience Replay
Marcin Andrychowicz · Filip Wolski · Alex Ray · Jonas Schneider · Rachel Fong · Peter Welinder · Bob McGrew · Josh Tobin · OpenAI Pieter Abbeel · Wojciech Zaremba
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
Workshop
Sat 16:50 POSTER: Curiosity-driven reinforcement learning with hoemostatic regulation
Ildefons Magrans de Abril
Spotlight
Tue 17:05 Posterior sampling for reinforcement learning: worst-case regret bounds
Shipra Agrawal · Randy Jia