Results

Workshop		Meta-Learning General-Purpose Learning Algorithms with Transformers Louis Kirsch · Luke Metz · James Harrison · Jascha Sohl-Dickstein
Poster	Tue 14:00	Near-Optimal Sample Complexity Bounds for Constrained MDPs Sharan Vaswani · Lin Yang · Csaba Szepesvari
Poster	Wed 9:00	Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning Shenao Zhang
Poster	Wed 14:00	Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm Ashish K Jayant · Shalabh Bhatnagar
Poster	Thu 9:00	Globally Convergent Policy Search for Output Estimation Jack Umenberger · Max Simchowitz · Juan Perdomo · Kaiqing Zhang · Russ Tedrake
Poster	Wed 14:00	Mismatched No More: Joint Model-Policy Optimization for Model-Based RL Benjamin Eysenbach · Alexander Khazatsky · Sergey Levine · Russ Salakhutdinov
Poster	Tue 14:00	Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model Gen Li · Yuejie Chi · Yuting Wei · Yuxin Chen
Poster	Tue 14:00	Data-Driven Offline Decision-Making via Invariant Representation Learning Han Qi · Yi Su · Aviral Kumar · Sergey Levine
Workshop		An optimal control perspective on diffusion-based generative modeling Julius Berner · Lorenz Richter · Karen Ullrich
Workshop	Fri 9:30	Let’s Give Domain Experts a Choice by Creating Many Approximately-Optimal Machine Learning Models Cynthia Rudin
Workshop		Minimax Optimal Fair Regression under Linear Model Kazuto Fukuchi · Jun Sakuma
Workshop		Completing the Model Optimization Process by Correcting Patterns of Failure in Regression Tasks Thomas Bonnier