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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 09:00 AM -- 09:20 AM (KST)
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning
In Reinforcement Learning and Planning 3
Angelos Filos · Clare Lyle · Yarin Gal · Sergey Levine · Natasha Jaques · Gregory Farquhar
[ Paper ]
Spotlight
Wed Jul 21 09:20 AM -- 09:25 AM (KST)
Safe Reinforcement Learning with Linear Function Approximation
In Reinforcement Learning and Planning 3
Sanae Amani Geshnigani · Christos Thrampoulidis · Lin Yang
[ Paper ]
Spotlight
Wed Jul 21 09:25 AM -- 09:30 AM (KST)
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
In Reinforcement Learning and Planning 3
Sungryull Sohn · Sungtae Lee · Jongwook Choi · Harm van Seijen · Mehdi Fatemi · Honglak Lee
[ Paper ]
Spotlight
Wed Jul 21 09:30 AM -- 09:35 AM (KST)
Offline Reinforcement Learning with Fisher Divergence Critic Regularization
In Reinforcement Learning and Planning 3
Ilya Kostrikov · Rob Fergus · Jonathan Tompson · Ofir Nachum
[ Paper ]
Spotlight
Wed Jul 21 09:35 AM -- 09:40 AM (KST)
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
In Reinforcement Learning and Planning 3
Elad Sarafian · Shai Keynan · Sarit Kraus
[ Paper ]
Spotlight
Wed Jul 21 09:40 AM -- 09:45 AM (KST)
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
In Reinforcement Learning and Planning 3
Jongmin Lee · Wonseok Jeon · Byung-Jun Lee · Joelle Pineau · Kee-Eung Kim
[ Paper ]
Spotlight
Wed Jul 21 09:45 AM -- 09:50 AM (KST)
Discovering symbolic policies with deep reinforcement learning
In Reinforcement Learning and Planning 3
Mikel Landajuela Larma · Brenden Petersen · Sookyung Kim · Claudio Santiago · Ruben Glatt · Nathan Mundhenk · Jacob Pettit · Daniel Faissol
[ Paper ]
Q&A
Wed Jul 21 09:50 AM -- 09:55 AM (KST)
Q&A
In Reinforcement Learning and Planning 3