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Sequential Decision Making

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Showing 701–725 of 1210 papers

TitleStatusHype
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning—0
SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics—0
SAC-GLAM: Improving Online RL for LLM agents with Soft Actor-Critic and Hindsight Relabeling—0
Safe Policy Improvement by Minimizing Robust Baseline Regret—0
Safe POMDP Online Planning via Shielding—0
Safe Posterior Sampling for Constrained MDPs with Bounded Constraint Violation—0
Safe Sequential Optimization for Switching Environments—0
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel—0
Safety-Aware Algorithms for Adversarial Contextual Bandit—0
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving—0
Sample-efficient Adversarial Imitation Learning—0
Sample-Efficient Behavior Cloning Using General Domain Knowledge—0
Sample-efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions—0
Sampling Through the Lens of Sequential Decision Making—0
SAPO-RL: Sequential Actuator Placement Optimization for Fuselage Assembly via Reinforcement Learning—0
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning—0
Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural Networks—0
Scalable First-Order Methods for Robust MDPs—0
Scalable Thompson Sampling via Optimal Transport—0
Scaling Multi-Armed Bandit Algorithms—0
Scaling up ML-based Black-box Planning with Partial STRIPS Models—0
Second-order Quantile Methods for Experts and Combinatorial Games—0
Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors—0
Selective Reviews of Bandit Problems in AI via a Statistical View—0
Self-Evaluation for Job-Shop Scheduling—0
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