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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
Oral
Tue 5:00 Deeply-Debiased Off-Policy Interval Estimation
Chengchun Shi · Runzhe Wan · Victor Chernozhukov · Rui Song
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 Reinforcement Learning with Prototypical Representations
Denis Yarats · Rob Fergus · Alessandro Lazaric · Lerrel Pinto
Spotlight
Tue 5:20 Offline Contextual Bandits with Overparameterized Models
David Brandfonbrener · William Whitney · Rajesh Ranganath · Joan Bruna
Spotlight
Tue 5:25 Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation
Christopher Dance · Perez Julien · Théo Cachet
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 Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration
Seungyul Han · Youngchul Sung
Spotlight
Tue 5:30 A New Representation of Successor Features for Transfer across Dissimilar Environments
Majid Abdolshah · Hung Le · Thommen Karimpanal George · Sunil Gupta · Santu Rana · Svetha Venkatesh
Spotlight
Tue 5:30 Muesli: Combining Improvements in Policy Optimization
Matteo Hessel · Ivo Danihelka · Fabio Viola · Arthur Guez · Simon Schmitt · Laurent Sifre · Theophane Weber · David Silver · Hado van Hasselt
Spotlight
Tue 5:30 Bias-Robust Bayesian Optimization via Dueling Bandits
Johannes Kirschner · Andreas Krause