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Poster
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Tue 14:00
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Pyramid Attention For Source Code Summarization
Lei Chai · Ming LI
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Workshop
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Training Equilibria in Reinforcement Learning
Lauro Langosco · David Krueger · Adam Gleave
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Workshop
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A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations
Qisai Liu · Xian Yeow Lee · Soumik Sarkar
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Poster
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Thu 9:00
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SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
Jianhong Wang · Yuan Zhang · Yunjie Gu · Tae-Kyun Kim
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Workshop
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Hyperbolic Deep Reinforcement Learning
Edoardo Cetin · Benjamin Chamberlain · Michael Bronstein · jonathan j hunt
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Workshop
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Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning
Remo Sasso · Matthia Sabatelli · Marco Wiering
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Affinity Workshop
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Estimating Uncertainty in Safety-Critical Deep Learning Models
Oishi Deb
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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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Squeezing more value out of your historical data: data-augmented behavioural cloning as launchpad for reinforcement learning
Charles Hepburn · Giovanni Montana
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Poster
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Wed 14:00
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Deep Model Reassembly
Xingyi Yang · Daquan Zhou · Songhua Liu · Jingwen Ye · Xinchao Wang
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Workshop
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Gray-Box Gaussian Processes for Automated Reinforcement Learning
Gresa Shala · André Biedenkapp · Frank Hutter · Josif Grabocka
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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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