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Sequential Decision Making

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Showing 226–250 of 1210 papers

TitleStatusHype
DriveGPT: Scaling Autoregressive Behavior Models for Driving—0
Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves—0
Active Reinforcement Learning Strategies for Offline Policy Improvement—0
Revelations: A Decidable Class of POMDPs with Omega-Regular ObjectivesCode0
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient—0
Swarm Behavior Cloning—0
How Should We Represent History in Interpretable Models of Clinical Policies?Code0
Effective Reward Specification in Deep Reinforcement Learning—0
Optimizing Sensor Redundancy in Sequential Decision-Making Problems—0
Conservative Contextual Bandits: Beyond Linear Representations—0
A Note on Sample Complexity of Interactive Imitation Learning with Log Loss—0
Discrete-Time Distribution Steering using Monte Carlo Tree SearchCode0
Nonmyopic Global Optimisation via Approximate Dynamic ProgrammingCode0
Reinforcement Learning: An Overview—0
Integrated Sensing and Communications for Low-Altitude Economy: A Deep Reinforcement Learning Approach—0
Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals—0
Technical Report on Reinforcement Learning Control on the Lucas-Nülle Inverted Pendulum—0
Time-Series-Informed Closed-loop Learning for Sequential Decision Making and Control—0
Selective Reviews of Bandit Problems in AI via a Statistical View—0
Decision Transformer vs. Decision Mamba: Analysing the Complexity of Sequential Decision Making in Atari GamesCode0
STEVE-Audio: Expanding the Goal Conditioning Modalities of Embodied Agents in Minecraft—0
Market Making without Regret—0
On adaptivity and minimax optimality of two-sided nearest neighbors—0
Robust Markov Decision Processes: A Place Where AI and Formal Methods Meet—0
Towards Sample-Efficiency and Generalization of Transfer and Inverse Reinforcement Learning: A Comprehensive Literature Review—0
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