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 1476–1500 of 1918 papers

TitleStatusHype
Which Channel to Ask My Question? Personalized Customer Service RequestStream Routing using DeepReinforcement Learning—0
Efficient Drone Mobility Support Using Reinforcement Learning—0
Quantum Observables for continuous control of the Quantum Approximate Optimization Algorithm via Reinforcement Learning—0
Asymptotics of Reinforcement Learning with Neural Networks—0
Modelling Bahdanau Attention using Election methods aided by Q-Learning—0
Two-stage WECC Composite Load Modeling: A Double Deep Q-Learning Networks Approach—0
Challenging On Car Racing Problem from OpenAI gym—0
On Solving the 2-Dimensional Greedy Shooter Problem for UAVsCode0
Generalized Speedy Q-learningCode0
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning—0
Biomimetic Ultra-Broadband Perfect Absorbers Optimised with Reinforcement Learning—0
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement LearningCode0
D-Point Trigonometric Path Planning based on Q-Learning in Uncertain Environments—0
ZPD Teaching Strategies for Deep Reinforcement Learning from DemonstrationsCode0
Deep Q-Learning for Same-Day Delivery with Vehicles and Drones—0
Momentum-based Accelerated Q-learningCode0
Partially Detected Intelligent Traffic Signal Control: Environmental Adaptation—0
Policy Learning for Malaria ControlCode0
Reverse Experience Replay—0
Automatic Data Augmentation by Learning the Deterministic PolicyCode0
Adaptive Discretization for Episodic Reinforcement Learning in Metric SpacesCode0
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central InferenceCode0
On the Reduction of Variance and Overestimation of Deep Q-Learning—0
Zap Q-Learning With Nonlinear Function Approximation—0
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments—0
Show:102550
← PrevPage 60 of 77Next →

No leaderboard results yet.