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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 301–325 of 1918 papers

TitleStatusHype
Combining policy gradient and Q-learning—0
Comparative Study of Q-Learning and NeuroEvolution of Augmenting Topologies for Self Driving Agents—0
A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing—0
An FPGA-Based On-Device Reinforcement Learning Approach using Online Sequential Learning—0
Action Learning for 3D Point Cloud Based Organ Segmentation—0
An Experimental Comparison Between Temporal Difference and Residual Gradient with Neural Network Approximation—0
A new multilayer optical film optimal method based on deep q-learning—0
A Deep Reinforcement Learning Architecture for Multi-stage Optimal Control—0
Prioritized Sequence Experience Replay—0
A new convergent variant of Q-learning with linear function approximation—0
A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward—0
A Deep Reinforcement Learning Approach to Battery Management in Dairy Farming via Proximal Policy Optimization—0
An Evolutionary Framework for Connect-4 as Test-Bed for Comparison of Advanced Minimax, Q-Learning and MCTS—0
A Network Simulation of OTC Markets with Multiple Agents—0
A Deep Reinforcement Learning Approach to Efficient Drone Mobility Support—0
Accelerated Structure-Aware Reinforcement Learning for Delay-Sensitive Energy Harvesting Wireless Sensors—0
A Nesterov's Accelerated quasi-Newton method for Global Routing using Deep Reinforcement Learning—0
A Deep Reinforcement Learning Approach for Adaptive Traffic Routing in Next-gen Networks—0
Accelerated Multi-objective Task Learning using Modified Q-learning Algorithm—0
An Empirical Investigation of Value-Based Multi-objective Reinforcement Learning for Stochastic Environments—0
An Elementary Proof that Q-learning Converges Almost Surely—0
A Deep Reinforcement Learning Approach for Interactive Search with Sentence-level Feedback—0
RSRM: Reinforcement Symbolic Regression Machine—0
An efficient data-based off-policy Q-learning algorithm for optimal output feedback control of linear systems—0
Caching Placement and Resource Allocation for Cache-Enabling UAV NOMA Networks—0
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