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Workshop
Model-based Policy Optimization under Approximate Bayesian Inference
Chaoqi Wang · Yuxin Chen · Kevin Murphy
Workshop
DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles
Poster
Tue 17:00 Compositional Score Modeling for Simulation-Based Inference
Tomas Geffner · George Papamakarios · Andriy Mnih
Workshop
Concept Algebra for Score-based Conditional Model
Zihao Wang · Lin Gui · Jeffrey Negrea · Victor Veitch
Workshop
Fri 12:30 The Domain Generalization Issue in Data-Based Dynamical Models - Patrick Gallinari
Workshop
Some challenges of calibrating differentiable agent-based models
Arnau Quera Bofarull · Joel Dyer · Anisoara Calinescu · Michael Wooldridge
Workshop
Fri 18:30 How Can Neuroscience Help Us Build More Robust Deep Neural Networks?
Sayanton Dibbo · Siddharth Mansingh · Jocelyn Rego · Garrett T Kenyon · Juston Moore · Michael Teti
Poster
Tue 14:00 The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms
Anirudh Vemula · Yuda Song · Aarti Singh · J. Bagnell · Sanjiban Choudhury
Poster
Tue 14:00 Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning
Yihao Sun · Jiaji Zhang · Chengxing Jia · Haoxin Lin · Junyin Ye · Yang Yu
Workshop
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning
Lin Guan · Karthik Valmeekam · Sarath Sreedharan · Subbarao Kambhampati
Poster
Tue 17:00 Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Yilun Du · Conor Durkan · Robin Strudel · Josh Tenenbaum · Sander Dieleman · Rob Fergus · Jascha Sohl-Dickstein · Arnaud Doucet · Will Grathwohl
Workshop
Informed POMDP: Leveraging Additional Information in Model-Based RL
Gaspard Lambrechts · Adrien Bolland · Damien Ernst