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Spotlight
Tue 16:40 Learning Compositional Neural Programs with Recursive Tree Search and Planning
Thomas PIERROT · Guillaume Ligner · Scott Reed · Olivier Sigaud · Nicolas Perrin · Alexandre Laterre · David Kas · Karim Beguir · Nando de Freitas
Oral
Tue 16:50 Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
Harm Van Seijen · Mehdi Fatemi · Arash Tavakoli
Poster
Tue 17:30 Learning Compositional Neural Programs with Recursive Tree Search and Planning
Thomas PIERROT · Guillaume Ligner · Scott Reed · Olivier Sigaud · Nicolas Perrin · Alexandre Laterre · David Kas · Karim Beguir · Nando de Freitas
Workshop
Fri 8:00 Biological and Artificial Reinforcement Learning
Raymond Chua · Sara Zannone · Feryal Behbahani · Rui Ponte Costa · Claudia Clopath · Blake Richards · Doina Precup
Poster
Wed 10:45 Interval timing in deep reinforcement learning agents
Ben Deverett · Ryan Faulkner · Meire Fortunato · Gregory Wayne · Joel Leibo
Poster
Thu 17:00 Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections
Boris Muzellec · Marco Cuturi
Spotlight
Tue 17:15 Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies
Yonathan Efroni · Nadav Merlis · Mohammad Ghavamzadeh · Shie Mannor
Poster
Thu 17:00 Generalization of Reinforcement Learners with Working and Episodic Memory
Meire Fortunato · Melissa Tan · Ryan Faulkner · Steven Hansen · Adrià Puigdomènech Badia · Gavin Buttimore · Charles Deck · Joel Leibo · Charles Blundell
Poster
Thu 10:45 Unsupervised State Representation Learning in Atari
Ankesh Anand · Evan Racah · Sherjil Ozair · Yoshua Bengio · Marc-Alexandre Côté · R Devon Hjelm
Poster
Tue 17:30 Learning dynamic polynomial proofs
Alhussein Fawzi · Mateusz Malinowski · Hamza Fawzi · Omar Fawzi
Demonstration
Wed 17:00 F1/10: An open-source 1/10th scale platform for autonomous racing and reinforcement learning
Matthew O'Kelly · Dhruv Karthik · Hongrui Zheng · Joseph Auckley · Siddharth Singh · Shashank D Prasad · Kim Luong · Matthew R Lebermann · Rahul Mangharam