firstbacksecondback
152 Results
|
Poster
|
Tue 17:00 |
Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning Aviral Kumar · Rishabh Agarwal · Dibya Ghosh · Sergey Levine |
|
|
Workshop
|
Safe Exploration Method for Reinforcement Learning under Existence of Disturbance Yoshihiro Okawa |
||
|
Poster
|
Tue 9:00 |
Scalable Bayesian Inverse Reinforcement Learning Alex Chan · Mihaela van der Schaar |
|
|
Workshop
|
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning Marc Vischer · Henning Sprekeler · Robert Lange |
||
|
Poster
|
Wed 9:00 |
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning Valerie Chen · Abhinav Gupta · Kenneth Marino |
|
|
Workshop
|
Persistent Reinforcement Learning via Subgoal Curricula Archit Sharma · Abhishek Gupta · Karol Hausman · Sergey Levine · Chelsea Finn |
||
|
Spotlight
|
Wed 21:45 |
Behavioral Cloning from Noisy Demonstrations Fumihiro Sasaki · Ryota Yamashina |
|
|
Poster
|
Mon 1:00 |
Mutual Information State Intrinsic Control Rui Zhao · Yang Gao · Pieter Abbeel · Volker Tresp · Wei Xu |
|
|
Poster
|
Tue 1:00 |
Sample-Efficient Automated Deep Reinforcement Learning Jörg Franke · Gregor Koehler · André Biedenkapp · Frank Hutter |
|
|
Workshop
|
Coordinated Attacks Against Federated Learning: A Multi-Agent Reinforcement Learning Approach Wen Shen |
||
|
Poster
|
Mon 9:00 |
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures Pedro Hermosilla Casajus · Marco Schäfer · Matej Lang · Gloria Fackelmann · Pere-Pau Vázquez · Barbora Kozlikova · Michael Krone · Tobias Ritschel · Timo Ropinski |
|
|
Poster
|
Thu 9:00 |
Hierarchical Reinforcement Learning by Discovering Intrinsic Options Jesse Zhang · Haonan Yu · Wei Xu |