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Affinity Workshop
Mon 10:35 Towards Explainable Deep Reinforcement Learning for Traffic Signal Control
Lincoln Schreiber · Gabriel Ramos · Ana Lucia Cetertich Bazzan
Affinity Workshop
Mon 10:45 Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection
Lucas Alegre · Ana Lucia Cetertich Bazzan · Bruno C. da Silva
Tutorial
Mon 12:00 Unsupervised Learning for Reinforcement Learning
Aravind Srinivas · Pieter Abbeel
Oral
Tue 5:00 Deeply-Debiased Off-Policy Interval Estimation
Chengchun Shi · Runzhe Wan · Victor Chernozhukov · Rui Song
Oral
Tue 5:00 Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Joel Z Leibo · Edgar Duenez-Guzman · Alexander Vezhnevets · John Agapiou · Peter Sunehag · Raphael Koster · Jayd Matyas · Charles Beattie · Igor Mordatch · Thore Graepel
Oral
Tue 5:00 Phasic Policy Gradient
Karl Cobbe · Jacob Hilton · Oleg Klimov · John Schulman
Spotlight
Tue 5:20 Reinforcement Learning with Prototypical Representations
Denis Yarats · Rob Fergus · Alessandro Lazaric · Lerrel Pinto
Spotlight
Tue 5:20 UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning
Tarun Gupta · Anuj Mahajan · Bei Peng · Wendelin Boehmer · Shimon Whiteson
Spotlight
Tue 5:20 Offline Contextual Bandits with Overparameterized Models
David Brandfonbrener · William Whitney · Rajesh Ranganath · Joan Bruna
Spotlight
Tue 5:25 A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
Dong Ki Kim · Miao Liu · Matthew Riemer · Chuangchuang Sun · Marwa Abdulhai · Golnaz Habibi · Sebastian Lopez-Cot · Gerald Tesauro · Jonathan How
Spotlight
Tue 5:25 Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation
Christopher Dance · Perez Julien · Théo Cachet
Spotlight
Tue 5:25 Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration
Seungyul Han · Youngchul Sung