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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 551–575 of 1918 papers

TitleStatusHype
Model-based versus model-free feeding control and water quality monitoring for fish growth tracking in aquaculture systems—0
Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care—0
Finite-Time Analysis of Minimax Q-Learning for Two-Player Zero-Sum Markov Games: Switching System Approach—0
Approximate information state based convergence analysis of recurrent Q-learning—0
Active Inference in Hebbian Learning Networks—0
Agent Performing Autonomous Stock Trading under Good and Bad SituationsCode0
Reinforcement Learning-Based Control of CrazyFlie 2.X Quadrotor—0
Deep Q-Learning versus Proximal Policy Optimization: Performance Comparison in a Material Sorting Task—0
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control—0
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple ReuseCode0
VA-learning as a more efficient alternative to Q-learning—0
Sample Complexity of Variance-reduced Distributionally Robust Q-learning—0
A Comparative Analysis of Portfolio Optimization Using Mean-Variance, Hierarchical Risk Parity, and Reinforcement Learning Approaches on the Indian Stock Market—0
MADiff: Offline Multi-agent Learning with Diffusion ModelsCode1
Reinforcement Learning With Reward Machines in Stochastic Games—0
Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks—0
RSRM: Reinforcement Symbolic Regression Machine—0
OER: Offline Experience Replay for Continual Offline Reinforcement Learning—0
When should we prefer Decision Transformers for Offline Reinforcement Learning?Code1
A Framework for Provably Stable and Consistent Training of Deep Feedforward Networks—0
Bayesian Risk-Averse Q-Learning with Streaming Observations—0
The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond—0
Model-Free Robust Average-Reward Reinforcement Learning—0
Smart Home Energy Management: VAE-GAN synthetic dataset generator and Q-learning—0
Mastering Percolation-like Games with Deep LearningCode0
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