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Regret and Sample Complexity of Online Q-Learning via Concentration of Stochastic Approximation with Time-Inhomogeneous Markov Chains
Arxiv
0+阅读 · 2月18日
Counterfactual Survival Q-learning via Buckley-James Boosting, with Applications to ACTG 175 and CALGB 8923
Arxiv
0+阅读 · 2月17日
Convergence and Connectivity: Dynamics of Multi-Agent Q-Learning in Random Networks
Arxiv
0+阅读 · 2月10日
Dynamic and Distributed Routing in IoT Networks based on Multi-Objective Q-Learning
Arxiv
0+阅读 · 2月6日
A Q-Learning Approach for Dynamic Resource Management in Three-Tier Vehicular Fog Computing
Arxiv
0+阅读 · 2月16日
The Role of Target Update Frequencies in Q-Learning
Arxiv
0+阅读 · 2月3日
Dynamic and Distributed Routing in IoT Networks based on Multi-Objective Q-Learning
Arxiv
0+阅读 · 2月4日
Choice-Model-Assisted Q-learning for Delayed-Feedback Revenue Management
Arxiv
0+阅读 · 2月2日
PIQL: Projective Implicit Q-Learning with Support Constraint for Offline Reinforcement Learning
Arxiv
0+阅读 · 2月2日
Periodic Regularized Q-Learning
Arxiv
0+阅读 · 2月3日
Causal Flow Q-Learning for Robust Offline Reinforcement Learning
Arxiv
0+阅读 · 2月2日
BMG-Q: Localized Bipartite Match Graph Attention Q-Learning for Ride-Pooling Order Dispatch
Arxiv
0+阅读 · 2月1日
Sample Complexity of Average-Reward Q-Learning: From Single-agent to Federated Reinforcement Learning
Arxiv
0+阅读 · 1月20日
Achieving $\varepsilon^{-2}$ Dependence for Average-Reward Q-Learning with a New Contraction Principle
Arxiv
0+阅读 · 1月29日
Adapting the Behavior of Reinforcement Learning Agents to Changing Action Spaces and Reward Functions
Arxiv
0+阅读 · 1月28日
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