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Sequential Decision Making

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Showing 976–1000 of 1210 papers

TitleStatusHype
Legion: Best-First Concolic Testing—0
Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints—0
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic—0
Tight Lower Bounds for Combinatorial Multi-Armed Bandits—0
Listwise Learning to Rank with Deep Q-Networks—0
Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning—0
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations—0
Computing the Feedback Capacity of Finite State Channels using Reinforcement LearningCode0
Fairness in Learning-Based Sequential Decision Algorithms: A Survey—0
Statistical Inference of the Value Function for Reinforcement Learning in Infinite Horizon SettingsCode0
A storage expansion planning framework using reinforcement learning and simulation-based optimization—0
On Computation and Generalization of Generative Adversarial Imitation Learning—0
Direct and indirect reinforcement learning—0
Decentralized Multi-Agent Reinforcement Learning with Networked Agents: Recent Advances—0
Risk-Averse Action Selection Using Extreme Value Theory Estimates of the CVaRCode0
Maximum Entropy Monte-Carlo Planning—0
SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional PoliciesCode0
An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks—0
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms—0
Planning with Goal-Conditioned PoliciesCode0
Working Memory Graphs—0
One-shot learning and behavioral eligibility traces in sequential decision making—0
A Biologically Plausible Benchmark for Contextual Bandit Algorithms in Precision Oncology Using in vitro DataCode0
Adaptivity in Adaptive Submodularity—0
Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations—0
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