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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 301–350 of 1918 papers

TitleStatusHype
An Index Policy Based on Sarsa and Q-learning for Heterogeneous Smart Target Tracking—0
An Independent Study of Reinforcement Learning and Autonomous Driving—0
Continuous-time q-Learning for Jump-Diffusion Models under Tsallis Entropy—0
Control-Tutored Reinforcement Learning: an application to the Herding Problem—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
A Deep Reinforcement Learning Approach to Efficient Drone Mobility Support—0
CARL-DTN: Context Adaptive Reinforcement Learning based Routing Algorithm in Delay Tolerant Network—0
A Network Simulation of OTC Markets with Multiple Agents—0
Accelerated Structure-Aware Reinforcement Learning for Delay-Sensitive Energy Harvesting Wireless Sensors—0
Contextual Policy Transfer in Reinforcement Learning Domains via Deep Mixtures-of-Experts—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
Can Q-learning solve Multi Armed Bantids?—0
An Empirical Investigation of Value-Based Multi-objective Reinforcement Learning for Stochastic Environments—0
Can Q-Learning be Improved with Advice?—0
Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating the Hallucination for Path Planning—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
CAN ALTQ LEARN FASTER: EXPERIMENTS AND THEORY—0
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory—0
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory—0
CAQL: Continuous Action Q-Learning—0
Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach—0
An efficient data-based off-policy Q-learning algorithm for optimal output feedback control of linear systems—0
Catalytic evolution of cooperation in a population with behavioural bimodality—0
An Evolutionary Framework for Connect-4 as Test-Bed for Comparison of Advanced Minimax, Q-Learning and MCTS—0
Catch Me If You Can: Improving Adversaries in Cyber-Security With Q-Learning Algorithms—0
Causal Deep Reinforcement Learning Using Observational Data—0
Causal Mean Field Multi-Agent Reinforcement Learning—0
Caching Placement and Resource Allocation for Cache-Enabling UAV NOMA Networks—0
Cell Switching in HAPS-Aided Networking: How the Obscurity of Traffic Loads Affects the Decision—0
Cellular traffic offloading via Opportunistic Networking with Reinforcement Learning—0
Censored Deep Reinforcement Patrolling with Information Criterion for Monitoring Large Water Resources using Autonomous Surface Vehicles—0
Challenging On Car Racing Problem from OpenAI gym—0
Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach—0
Characterizing the Action-Generalization Gap in Deep Q-Learning—0
Chemoreception and chemotaxis of a three-sphere swimmer—0
Chrome Dino Run using Reinforcement Learning—0
Cache-Aided NOMA Mobile Edge Computing: A Reinforcement Learning Approach—0
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