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Poster
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Thu 9:00
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Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
Minjong Yoo · SangWoo Cho · Honguk Woo
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Poster
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Thu 14:00
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Multi-Objective Deep Learning with Adaptive Reference Vectors
Weiyu Chen · James Kwok
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Competition
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Tue 13:35
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Modeling sensorimotor circuits with task-driven and reinforcement learning
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Poster
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Thu 14:00
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On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning
Mandi Zhao · Pieter Abbeel · Stephen James
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Workshop
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Inducing Functions through Reinforcement Learning without Task Specification
Junmo Cho · Donghwan Lee · Young-Gyu Yoon
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Workshop
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Efficient Multi-Task Reinforcement Learning via Selective Behavior Sharing
Grace Zhang · Ayush Jain · Injune Hwang · Shao-Hua Sun · Joseph Lim
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Poster
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Thu 9:00
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Learn what matters: cross-domain imitation learning with task-relevant embeddings
Tim Franzmeyer · Philip Torr · João Henriques
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Poster
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Provable General Function Class Representation Learning in Multitask Bandits and MDP
Rui Lu · Andrew Zhao · Simon Du · Gao Huang
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Workshop
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Investigating Multi-task Pretraining and Generalization in Reinforcement Learning
Adrien Ali Taiga · Rishabh Agarwal · Jesse Farebrother · Aaron Courville · Marc Bellemare
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Poster
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Wed 14:00
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Meta Reinforcement Learning with Finite Training Tasks - a Density Estimation Approach
Zohar Rimon · Aviv Tamar · Gilad Adler
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Poster
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Wed 14:00
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In Defense of the Unitary Scalarization for Deep Multi-Task Learning
Vitaly Kurin · Alessandro De Palma · Ilya Kostrikov · Shimon Whiteson · Pawan K Mudigonda
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Poster
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Wed 9:00
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Evaluation beyond Task Performance: Analyzing Concepts in AlphaZero in Hex
Charles Lovering · Jessica Forde · George Konidaris · Ellie Pavlick · Michael Littman
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