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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

Showing 451500 of 1918 papers

TitleStatusHype
Genetic Algorithm enhanced by Deep Reinforcement Learning in parent selection mechanism and mutation : Minimizing makespan in permutation flow shop scheduling problems0
Advancing Algorithmic Trading: A Multi-Technique Enhancement of Deep Q-Network Models0
Pointer Networks with Q-Learning for Combinatorial Optimization0
Optimistic Multi-Agent Policy GradientCode1
Q-Learning for Stochastic Control under General Information Structures and Non-Markovian Environments0
DGFN: Double Generative Flow Networks0
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised LearningCode1
Weakly Coupled Deep Q-Networks0
Model-free Posterior Sampling via Learning Rate Randomization0
Lifting the Veil: Unlocking the Power of Depth in Q-learning0
Integrated Freeway Traffic Control Using Q-Learning with Adjacent Arterial Traffic Considerations0
Reinforcement learning based local path planning for mobile robot0
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration0
AI on the Water: Applying DRL to Autonomous Vessel Navigation0
Deep Reinforcement Learning-based Intelligent Traffic Signal Controls with Optimized CO2 emissionsCode1
Towards Robust Offline Reinforcement Learning under Diverse Data CorruptionCode1
Bad Values but Good Behavior: Learning Highly Misspecified Bandits and MDPs0
Learning RL-Policies for Joint Beamforming Without Exploration: A Batch Constrained Off-Policy ApproachCode0
Integrated Sensing and Communication Neighbor Discovery for MANET with Gossip Mechanism0
Inverse Factorized Q-Learning for Cooperative Multi-agent Imitation Learning0
Suppressing Overestimation in Q-Learning through Adversarial Behaviors0
Boosting Continuous Control with Consistency PolicyCode1
Dynamic value alignment through preference aggregation of multiple objectives0
DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather DataCode0
Digital Twin Assisted Deep Reinforcement Learning for Online Admission Control in Sliced Network0
Diff-Transfer: Model-based Robotic Manipulation Skill Transfer via Differentiable Physics Simulation0
Applying Reinforcement Learning to Option Pricing and Hedging0
Optimal Control of District Cooling Energy Plant with Reinforcement Learning and MPC0
PGDQN: Preference-Guided Deep Q-NetworkCode1
A Deep Reinforcement Learning Approach for Interactive Search with Sentence-level Feedback0
Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation0
Using Reinforcement Learning to Optimize Responses in Care Processes: A Case Study on Aggression Incidents0
Pre-training with Synthetic Data Helps Offline Reinforcement LearningCode0
Reinforcement learning adaptive fuzzy controller for lighting systems: application to aircraft cabin0
Multi-Bellman operator for convergence of Q-learning with linear function approximation0
Decoding trust: A reinforcement learning perspective0
Adapting Double Q-Learning for Continuous Reinforcement Learning0
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement LearningCode1
UAV Swarm Deployment and Trajectory for 3D Area Coverage via Reinforcement Learning0
Adaptive Multi-Agent Deep Reinforcement Learning for Timely Healthcare Interventions0
Differentiable Quantum Architecture Search for Quantum Reinforcement Learning0
Double Deep Q-Learning-based Path Selection and Service Placement for Latency-Sensitive Beyond 5G Applications0
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions0
Self-Sustaining Multiple Access with Continual Deep Reinforcement Learning for Dynamic Metaverse Applications0
Data-Driven H-infinity Control with a Real-Time and Efficient Reinforcement Learning Algorithm: An Application to Autonomous Mobility-on-Demand Systems0
Harnessing Deep Q-Learning for Enhanced Statistical Arbitrage in High-Frequency Trading: A Comprehensive Exploration0
Dynamic control of self-assembly of quasicrystalline structures through reinforcement learningCode0
Reasoning with Latent Diffusion in Offline Reinforcement LearningCode1
A Q-learning Approach for Adherence-Aware Recommendations0
Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach0
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