Skip to yearly menu bar Skip to main content


(8 events)   Timezone:  
Show all
The 2021 schedule is still incomplete
Toggle Poster Visibility
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
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
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Safe Reinforcement Learning with Linear Function Approximation
In Reinforcement Learning and Planning 3
Sanae Amani Geshnigani · Christos Thrampoulidis · Lin Yang
[ Paper ]
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
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
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Offline Reinforcement Learning with Fisher Divergence Critic Regularization
In Reinforcement Learning and Planning 3
Ilya Kostrikov · Rob Fergus · Jonathan Tompson · Ofir Nachum
[ Paper ]
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
In Reinforcement Learning and Planning 3
Elad Sarafian · Shai Keynan · Sarit Kraus
[ Paper ]
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
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
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
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
Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
In Reinforcement Learning and Planning 3