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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 1351–1400 of 1918 papers

TitleStatusHype
Fitted Q-Learning for Relational Domains—0
Model-Free Algorithm and Regret Analysis for MDPs with Long-Term Constraints—0
Multi-Agent Reinforcement Learning in a Realistic Limit Order Book Market Simulation—0
Reinforcement Learning-Based Joint Self-Optimisation Method for the Fuzzy Logic Handover Algorithm in 5G HetNets—0
Balancing a CartPole System with Reinforcement Learning -- A Tutorial—0
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory—0
A Model-free Learning Algorithm for Infinite-horizon Average-reward MDPs with Near-optimal Regret—0
A Multi-step and Resilient Predictive Q-learning Algorithm for IoT with Human Operators in the Loop: A Case Study in Water Supply Networks—0
Logical Team Q-learning: An approach towards factored policies in cooperative MARL—0
A Novel Update Mechanism for Q-Networks Based On Extreme Learning MachinesCode0
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction—0
Hyperparameter optimization with REINFORCE and Transformers—0
Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning—0
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization—0
Learning-Based Joint User-AP Association and Resource Allocation in Ultra Dense Network—0
Active Measure Reinforcement Learning for Observation Cost Minimization—0
Should artificial agents ask for help in human-robot collaborative problem-solving?—0
Deep Reinforcement Learning Based Power Allocation for D2D Network—0
A reinforcement learning based decision support system in textile manufacturing process—0
Safe Learning for Near Optimal Scheduling—0
Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement Learning: An In Silico Validation—0
Entropy-Augmented Entropy-Regularized Reinforcement Learning and a Continuous Path from Policy Gradient to Q-Learning—0
A Deep Q-learning/genetic Algorithms Based Novel Methodology For Optimizing Covid-19 Pandemic Government Actions—0
A Deep Reinforcement Learning Approach to Efficient Drone Mobility Support—0
An FPGA-Based On-Device Reinforcement Learning Approach using Online Sequential Learning—0
Reinforcement Learning for Thermostatically Controlled Loads Control using Modelica and Python—0
Optimal Beam Association for High Mobility mmWave Vehicular Networks: Lightweight Parallel Reinforcement Learning Approach—0
Implementing Inductive bias for different navigation tasks through diverse RNN attrractors—0
Learning Efficient Parameter Server Synchronization Policies for Distributed SGD—0
Whittle index based Q-learning for restless bandits with average reward—0
Evolution of Q Values for Deep Q Learning in Stable Baselines—0
Learning Dialog Policies from Weak Demonstrations—0
Intelligent Querying for Target Tracking in Camera Networks using Deep Q-Learning with n-Step Bootstrapping—0
Energy-Efficient Power Allocation and Q-Learning-Based Relay Selection for Relay-Aided D2D Communication—0
Deep Reinforcement Learning for Adaptive Learning Systems—0
Show Us the Way: Learning to Manage Dialog from Demonstrations—0
K-spin Hamiltonian for quantum-resolvable Markov decision processes—0
Self Punishment and Reward Backfill for Deep Q-LearningCode0
Zero-Shot Learning of Text Adventure Games with Sentence-Level Semantics—0
Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing—0
Minimizing Age-of-Information for Fog Computing-supported Vehicular Networks with Deep Q-learning—0
Reinforcement Learning for Mixed-Integer Problems Based on MPC—0
Safe Reinforcement Learning via Projection on a Safe Set: How to Achieve Optimality?—0
Statistically Model Checking PCTL Specifications on Markov Decision Processes via Reinforcement Learning—0
Augmented Q Imitation Learning (AQIL)Code0
Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition—0
Learning medical triage from clinicians using Deep Q-Learning—0
A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms—0
Robust Q-learning—0
Convergence of Recursive Stochastic Algorithms using Wasserstein Divergence—0
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