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Q-Learning

The goal of Q-learning is to learn a policy, which tells an agent what action to take under what circumstances.

( Image credit: Playing Atari with Deep Reinforcement Learning )

Papers

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Showing 1476–1500 of 1918 papers

TitleStatusHype
Provably Efficient Reinforcement Learning in Decentralized General-Sum Markov Games—0
Provably More Efficient Q-Learning in the One-Sided-Feedback/Full-Feedback Settings—0
Direct Data-Driven Discrete-time Bilinear Biquadratic Regulator—0
Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care—0
Pseudorehearsal in value function approximation—0
Learned Collusion—0
Q-Cogni: An Integrated Causal Reinforcement Learning Framework—0
Q-CP: Learning Action Values for Cooperative Planning—0
Q-DATA: Enhanced Traffic Flow Monitoring in Software-Defined Networks applying Q-learning—0
QF-tuner: Breaking Tradition in Reinforcement Learning—0
Qgraph-bounded Q-learning: Stabilizing Model-Free Off-Policy Deep Reinforcement Learning—0
Q-greedyUCB: a New Exploration Policy for Adaptive and Resource-efficient Scheduling—0
Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing—0
QLAMMP: A Q-Learning Agent for Optimizing Fees on Automated Market Making Protocols—0
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes—0
Q-Learning Algorithm for VoLTE Closed-Loop Power Control in Indoor Small Cells—0
Q-learning as a monotone scheme—0
Q-learning Assisted Energy-Aware Traffic Offloading and Cell Switching in Heterogeneous Networks—0
Q-Learning Based Aerial Base Station Placement for Fairness Enhancement in Mobile Networks—0
Q-learning-based Hierarchical Cooperative Local Search for Steelmaking-continuous Casting Scheduling Problem—0
Q-learning-based Model-free Safety Filter—0
Q-learning Based Optimal False Data Injection Attack on Probabilistic Boolean Control Networks—0
Q-Learning based system for path planning with unmanned aerial vehicles swarms in obstacle environments—0
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL—0
A Distributed Intelligence Architecture for B5G Network Automation—0
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