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Poster
Wed 2:30 User-Interactive Offline Reinforcement Learning
Phillip Swazinna · Steffen Udluft · Thomas A. Runkler
Oral
Wed 1:40 Model-based Causal Bayesian Optimization
Scott Sussex · Anastasia Makarova · Andreas Krause
Poster
Wed 2:30 Model-based Causal Bayesian Optimization
Scott Sussex · Anastasia Makarova · Andreas Krause
Poster
Tue 2:30 Transformer-based World Models Are Happy With 100k Interactions
Jan Robine · Marc Höftmann · Tobias Uelwer · Stefan Harmeling
Workshop
MOTO: Offline to Online Fine-tuning for Model-Based Reinforcement Learning
Rafael Rafailov · Kyle Hatch · Victor Kolev · John Martin · mariano Phielipp · Chelsea Finn
Workshop
Strategies for Classification Layer Initialization in Model-Agnostic Meta-Learning
Nys Tjade Siegel · Thomas Goerttler · Klaus Obermayer
Poster
Mon 7:30 On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
Yifan Xu · Nicklas Hansen · Zirui Wang · Yung-Chieh Chan · Hao Su · Zhuowen Tu
Workshop
On The Role of Forgetting in Fine-Tuning Reinforcement Learning Models
Maciej Wołczyk · Bartłomiej Cupiał · Michał Zając · Razvan Pascanu · Łukasz Kuciński · Piotr Miłoś
Poster
Tue 7:30 Causal Imitation Learning via Inverse Reinforcement Learning
Kangrui Ruan · Junzhe Zhang · Xuan Di · Elias Bareinboim
Poster
Wed 7:30 Efficiently Computing Nash Equilibria in Adversarial Team Markov Games
Fivos Kalogiannis · Ioannis Anagnostides · Ioannis Panageas · Emmanouil-Vasileios Vlatakis-Gkaragkounis · Vaggos Chatziafratis · Stelios Stavroulakis
Oral
Wed 6:10 Efficiently Computing Nash Equilibria in Adversarial Team Markov Games
Fivos Kalogiannis · Ioannis Anagnostides · Ioannis Panageas · Emmanouil-Vasileios Vlatakis-Gkaragkounis · Vaggos Chatziafratis · Stelios Stavroulakis
Oral
Mon 1:50 Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
Aviral Kumar · Rishabh Agarwal · Xinyang Geng · George Tucker · Sergey Levine