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 1576–1600 of 1918 papers

TitleStatusHype
Reinforcement Learning-Based Control of CrazyFlie 2.X Quadrotor—0
Reinforcement Learning Based Cooperative Coded Caching under Dynamic Popularities in Ultra-Dense Networks—0
Reinforcement Learning-Based Cooperative P2P Power Trading between DC Nanogrid Clusters with Wind and PV Energy Resources—0
Reinforcement Learning based Dynamic Model Selection for Short-Term Load Forecasting—0
Reinforcement Learning Based Handwritten Digit Recognition with Two-State Q-Learning—0
Reinforcement Learning-based Joint Path and Energy Optimization of Cellular-Connected Unmanned Aerial Vehicles—0
Reinforcement Learning-Based Joint Self-Optimisation Method for the Fuzzy Logic Handover Algorithm in 5G HetNets—0
Reinforcement learning based local path planning for mobile robot—0
Reinforcement Learning Based Minimum State-flipped Control for the Reachability of Boolean Control Networks—0
Reinforcement Learning based on Scenario-tree MPC for ASVs—0
Reinforcement Learning based Per-antenna Discrete Power Control for Massive MIMO Systems—0
Reinforcement Learning-Based Policy Optimisation For Heterogeneous Radio Access—0
Reinforcement learning based recommender systems: A survey—0
Reinforcement Learning-Based Trajectory Design for the Aerial Base Stations—0
Reinforcement Learning-Enabled Decision-Making Strategies for a Vehicle-Cyber-Physical-System in Connected Environment—0
Reinforcement Learning-enabled Satellite Constellation Reconfiguration and Retasking for Mission-Critical Applications—0
Reinforcement Learning for Adaptive Caching with Dynamic Storage Pricing—0
Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments—0
Reinforcement Learning for Assignment problem—0
Reinforcement Learning for Battery Management in Dairy Farming—0
Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing—0
Reinforcement Learning for Finite Space Mean-Field Type Games—0
Reinforcement Learning for Hanabi—0
Reinforcement Learning for Joint V2I Network Selection and Autonomous Driving Policies—0
Reinforcement Learning for Jump-Diffusions, with Financial Applications—0
Show:102550
← PrevPage 64 of 77Next →

No leaderboard results yet.