Pages that link to "Item:Q1277052"
From MaRDI portal
The following pages link to Elevator group control using multiple reinforcement learning agents (Q1277052):
Displaying 19 items.
- Adaptive data-aware utility-based scheduling in resource-constrained systems (Q666202) (← links)
- Reinforcement learning algorithms with function approximation: recent advances and applications (Q903601) (← links)
- Natural actor-critic algorithms (Q1049136) (← links)
- Learning metric-topological maps for indoor mobile robot navigation (Q1128610) (← links)
- Model-based average reward reinforcement learning (Q1128769) (← links)
- The loss from imperfect value functions in exceptation-based and minimax-based tasks (Q1911345) (← links)
- Preference-based reinforcement learning: a formal framework and a policy iteration algorithm (Q1945130) (← links)
- Improving coordination in small-scale multi-agent deep reinforcement learning through memory-driven communication (Q2217433) (← links)
- Computational bounds for elevator control policies by large scale linear programming (Q2441574) (← links)
- Application of reinforcement learning to the game of Othello (Q2462546) (← links)
- Dynamic optimization of the operation of single-car elevator systems with destination hall call registration. I: Formulation and simulations (Q2485347) (← links)
- Online-optimization of multi-elevator transport systems with reoptimization algorithms based on set-partitioning models (Q2500540) (← links)
- Bridging the Gap between Reinforcement Learning and Knowledge Representation: A Logical Off- and On-Policy Framework (Q3011967) (← links)
- Design and Analysis of Optimization Algorithms Using Computational Statistics (Q3159469) (← links)
- REINFORCEMENT LEARNING IN MARKOVIAN EVOLUTIONARY GAMES (Q4425274) (← links)
- Scalable Reinforcement Learning for Multiagent Networked Systems (Q5060525) (← links)
- Model-Based Reinforcement Learning for Partially Observable Games with Sampling-Based State Estimation (Q5441307) (← links)
- A reinforcement learning scheme for a partially-observable multi-agent game (Q5916201) (← links)
- A reinforcement learning scheme for a partially-observable multi-agent game (Q5921684) (← links)
