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Workshop
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Adversarial Robustness of Deep Inverse Reinforcement Learning
Ezgi Korkmaz
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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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Improving Assistive Robotics with Deep Reinforcement Learning
Yash Jakhotiya · Iman Haque
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Poster
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Constrained Update Projection Approach to Safe Policy Optimization
Long Yang · Jiaming Ji · Juntao Dai · Linrui Zhang · Binbin Zhou · Pengfei Li · Yaodong Yang · Gang Pan
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Workshop
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Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees
Kai-Chieh Hsu · Allen Z. Ren · Duy Nguyen · Anirudha Majumdar · Jaime Fisac
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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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Poster
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Thu 9:00
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Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis
Anton Plaksin · Stepan Martyanov
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Poster
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Wed 14:00
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A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP
Fan Chen · Junyu Zhang · Zaiwen Wen
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Workshop
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Deep Reinforcement Learning Policies in the Frequency Domain
Ezgi Korkmaz
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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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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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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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