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Q-Learning
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The goal of Q-learning is to learn a policy, which tells an agent what action to take under what circumstances.
<span style="color:grey; opacity: 0.6">( Image credit: Playing Atari with Deep Reinforcement Learning )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Learning to Charge More: How Q-Learning Firms Lock In Supracompetitive Prices
Evaluating Reinforcement Learning Algorithms for Navigation in Simulated Robotic Quadrupeds: A Comparative Study Inspired by Guide Dog Behaviour
Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing
A Data-Ensemble-Based Approach for Sample-Efficient LQ Control of Linear Time-Varying Systems
ADDQ: Adaptive Distributional Double Q-Learning
Reinforcement Learning-Based Policy Optimisation For Heterogeneous Radio Access
ReinDSplit: Reinforced Dynamic Split Learning for Pest Recognition in Precision Agriculture
Implicit Constraint-Aware Off-Policy Correction for Offline Reinforcement Learning
"What are my options?": Explaining RL Agents with Diverse Near-Optimal Alternatives (Extended)
Q-learning-based Hierarchical Cooperative Local Search for Steelmaking-continuous Casting Scheduling Problem
Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning
Bridging the Performance Gap Between Target-Free and Target-Based Reinforcement Learning With Iterated Q-Learning
Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons
Reinforcement Learning for Hanabi
Entropic Risk Optimization in Discounted MDPs: Sample Complexity Bounds with a Generative Model
On Global Convergence Rates for Federated Policy Gradient under Heterogeneous Environment
BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL
A General-Purpose Theorem for High-Probability Bounds of Stochastic Approximation with Polyak Averaging
Inverse Q-Learning Done Right: Offline Imitation Learning in $Q^π$-Realizable MDPs
Distributionally Robust Deep Q-Learning
Reinforcement Learning for Stock Transactions
Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies
When a Reinforcement Learning Agent Encounters Unknown Unknowns
OPA-Pack: Object-Property-Aware Robotic Bin Packing
Imagination-Limited Q-Learning for Offline Reinforcement Learning
ShiQ: Bringing back Bellman to LLMs
Automatic Reward Shaping from Confounded Offline Data
Bias or Optimality? Disentangling Bayesian Inference and Learning Biases in Human Decision-Making
Convert Language Model into a Value-based Strategic Planner
Universal Approximation Theorem for Deep Q-Learning via FBSDE System
A Large Language Model-Enhanced Q-learning for Capacitated Vehicle Routing Problem with Time Windows
A critical assessment of reinforcement learning methods for microswimmer navigation in complex flows
Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation
VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making
Meta-Black-Box-Optimization through Offline Q-function Learning
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