SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 1918 papers

TitleStatusHype
Gradient Temporal-Difference Learning with Regularized CorrectionsCode1
Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous ControlsCode1
Hybrid RL: Using Both Offline and Online Data Can Make RL EfficientCode1
A Hysteretic Q-learning Coordination Framework for Emerging Mobility Systems in Smart Cities—0
A Hybrid Q-Learning Sine-Cosine-based Strategy for Addressing the Combinatorial Test Suite Minimization Problem—0
Adaptive Stochastic Resource Control: A Machine Learning Approach—0
A Hybrid PAC Reinforcement Learning Algorithm—0
A Graph Attention Learning Approach to Antenna Tilt Optimization—0
Adaptive Services Function Chain Orchestration For Digital Health Twin Use Cases: Heuristic-boosted Q-Learning Approach—0
A Comparison of Classical and Deep Reinforcement Learning Methods for HVAC Control—0
Agnostic Q-learning with Function Approximation in Deterministic Systems: Near-Optimal Bounds on Approximation Error and Sample Complexity—0
Agnostic Q-learning with Function Approximation in Deterministic Systems: Tight Bounds on Approximation Error and Sample Complexity—0
Adaptive Q-learning for Interaction-Limited Reinforcement Learning—0
Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance—0
A Geometric Nash Approach in Tuning the Learning Rate in Q-Learning Algorithm—0
Adaptive Modulation and Coding based on Reinforcement Learning for 5G Networks—0
A Comparative Study of AI-based Intrusion Detection Techniques in Critical Infrastructures—0
QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction—0
Age of Trust (AoT): A Continuous Verification Framework for Wireless Networks—0
Age-of-information minimization via opportunistic sampling by an energy harvesting source—0
Adaptive Knowledge-based Multi-Objective Evolutionary Algorithm for Hybrid Flow Shop Scheduling Problems with Multiple Parallel Batch Processing Stages—0
Age of Information Minimization using Multi-agent UAVs based on AI-Enhanced Mean Field Resource Allocation—0
Agent-state based policies in POMDPs: Beyond belief-state MDPs—0
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback—0
A Comparative Analysis of Portfolio Optimization Using Mean-Variance, Hierarchical Risk Parity, and Reinforcement Learning Approaches on the Indian Stock Market—0
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles—0
A General-Purpose Theorem for High-Probability Bounds of Stochastic Approximation with Polyak Averaging—0
Reinforcement Learning for an Efficient and Effective Malware Investigation during Cyber Incident Response—0
A General Framework for Learning Mean-Field Games—0
A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms—0
A Reinforcement Learning Perspective on the Optimal Control of Mutation Probabilities for the (1+1) Evolutionary Algorithm: First Results on the OneMax Problem—0
A storage expansion planning framework using reinforcement learning and simulation-based optimization—0
A short variational proof of equivalence between policy gradients and soft Q learning—0
Adapting Double Q-Learning for Continuous Reinforcement Learning—0
A Framework for Provably Stable and Consistent Training of Deep Feedforward Networks—0
Toward Packet Routing with Fully-distributed Multi-agent Deep Reinforcement Learning—0
Actuator Trajectory Planning for UAVs with Overhead Manipulator using Reinforcement Learning—0
A Flexible Framework for Incorporating Patient Preferences Into Q-Learning—0
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning—0
Artificial Intelligence and Auction Design—0
A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation—0
A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation—0
Achieving Stable Training of Reinforcement Learning Agents in Bimodal Environments through Batch Learning—0
A finite time analysis of distributed Q-learning—0
A Finite Sample Complexity Bound for Distributionally Robust Q-learning—0
Active Perception and Representation for Robotic Manipulation—0
An Agile Adaptation Method for Multi-mode Vehicle Communication Networks—0
Artificial Intelligence and Dual Contract—0
A Family of Cognitively Realistic Parsing Environments for Deep Reinforcement Learning—0
Active Measure Reinforcement Learning for Observation Cost Minimization—0
Show:102550
← PrevPage 4 of 39Next →

No leaderboard results yet.