Pages that link to "Item:Q2901057"

The following pages link to Reinforcement learning: a tutorial survey and recent advances (Q2901057):

Displaying 38 items.

• Dynamic capacity planning using strategic slack valuation (Q323107) (← links)
• Tutorial series on brain-inspired computing. IV: Reinforcement learning: machine learning and natural learning (Q867508) (← links)
• A reinforcement learning approach to convoy scheduling on a contested transportation network (Q895789) (← links)
• Reinforcement learning algorithms with function approximation: recent advances and applications (Q903601) (← links)
• Elevator group control using multiple reinforcement learning agents (Q1277052) (← links)
• Reinforcement learning for long-run average cost. (Q1427588) (← links)
• Reinforcement learning agents (Q1600659) (← links)
• Approximate stochastic annealing for online control of infinite horizon Markov decision processes (Q1937498) (← links)
• Guest editorial: Special issue on reinforcement learning for real life (Q2071366) (← links)
• What may lie ahead in reinforcement learning (Q2094025) (← links)
• Q-learning-based target selection for bearings-only autonomous navigation (Q2235617) (← links)
• A survey of inverse reinforcement learning: challenges, methods and progress (Q2238606) (← links)
• An aggregation-based approximate dynamic programming approach for the periodic review model with random yield (Q2333003) (← links)
• Policy sharing between multiple mobile robots using decision trees (Q2446395) (← links)
• Application of reinforcement learning to the game of Othello (Q2462546) (← links)
• A unified DC programming framework and efficient DCA based approaches for large scale batch reinforcement learning (Q2633537) (← links)
• Tabu search guided by reinforcement learning for the max-mean dispersion problem (Q2666721) (← links)
• Reinforcement learning theory, algorithms and its application (Q2704471) (← links)
• Approximate dynamic programming based on high dimensional model representation (Q2868781) (← links)
• Solving Semi-Markov Decision Problems Using Average Reward Reinforcement Learning (Q3116659) (← links)
• On Incomplete Learning and Certainty-Equivalence Control (Q4971399) (← links)
• Actor-Critic–Like Stochastic Adaptive Search for Continuous Simulation Optimization (Q5060521) (← links)
• Automated Reinforcement Learning (AutoRL): A Survey and Open Problems (Q5094025) (← links)
• Deep Reinforcement Learning: A State-of-the-Art Walkthrough (Q5145831) (← links)
• Methods and Applications of Artificial Intelligence (Q5307326) (← links)
• (Q5320066) (← links)
• Continuous Action Generation of Q‐Learning in Multi‐Agent Cooperation (Q5416856) (← links)
• A critical review of the most popular types of neuro control (Q5745674) (← links)
• Machine Learning: ECML 2003 (Q5897339) (← links)
• A tutorial survey of reinforcement learning (Q5955768) (← links)
• Scalable estimation strategies based on stochastic approximations: classical results and new insights (Q5963780) (← links)
• Learning reward machines: a study in partially observable reinforcement learning (Q6080653) (← links)
• Literature reviews in operations research: a new taxonomy and a meta review (Q6106580) (← links)
• A self‐adaptive SAC‐PID control approach based on reinforcement learning for mobile robots (Q6139916) (← links)
• From Reinforcement Learning to Deep Reinforcement Learning: An Overview (Q6162303) (← links)
• A survey for deep reinforcement learning in Markovian cyber-physical systems: common problems and solutions (Q6488715) (← links)
• A Q-learning algorithm for Markov decision processes with continuous state spaces (Q6569411) (← links)
• Q-learning for noise covariance adaptation in extended Kalman filter (Q6578455) (← links)