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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 501–525 of 1918 papers

TitleStatusHype
Intelligent Agricultural Management Considering N_2O Emission and Climate Variability with Uncertainties—0
Conservative and Risk-Aware Offline Multi-Agent Reinforcement LearningCode0
Leveraging Digital Cousins for Ensemble Q-Learning in Large-Scale Wireless NetworksCode0
Federated Deep Q-Learning and 5G load balancing—0
ORIENT: A Priority-Aware Energy-Efficient Approach for Latency-Sensitive Applications in 6G—0
Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy NetworksCode0
Value function interference and greedy action selection in value-based multi-objective reinforcement learning—0
Enhancement of High-definition Map Update Service Through Coverage-aware and Reinforcement Learning—0
Multi-Timescale Ensemble Q-learning for Markov Decision Process Policy OptimizationCode0
Attention-Enhanced Prioritized Proximal Policy Optimization for Adaptive Edge Caching—0
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices—0
A Deep Reinforcement Learning Approach for Adaptive Traffic Routing in Next-gen Networks—0
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning AgentsCode0
Multi-Agent Reinforcement Learning for Offloading Cellular Communications with Cooperating UAVs—0
Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning—0
SQT -- std Q-target—0
MinMaxMin Q-learning—0
DRL-Based Dynamic Channel Access and SCLAR Maximization for Networks Under Jamming—0
RadDQN: a Deep Q Learning-based Architecture for Finding Time-efficient Minimum Radiation Exposure PathwayCode0
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game—0
Deep Robot Sketching: An application of Deep Q-Learning Networks for human-like sketching—0
Scheduled Curiosity-Deep Dyna-Q: Efficient Exploration for Dialog Policy Learning—0
Nash Soft Actor-Critic LEO Satellite Handover Management Algorithm for Flying Vehicles—0
Extrinsicaly Rewarded Soft Q Imitation Learning with Discriminator—0
Emergence of cooperation under punishment: A reinforcement learning perspective—0
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