Pages that link to "Item:Q2790147"
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The following pages link to Optimally solving Dec-POMDPs as continuous-state MDPs (Q2790147):
Displaying 16 items.
- Exploiting symmetries for single- and multi-agent partially observable stochastic domains (Q456732) (← links)
- A decentralized partially observable decision model for recognizing the multiagent goal in simulation systems (Q1677679) (← links)
- Multi-agent reinforcement learning algorithm to solve a partially-observable multi-agent problem in disaster response (Q2029978) (← links)
- Multi-agent reinforcement learning: a selective overview of theories and algorithms (Q2094040) (← links)
- Knowledge-based strategies for multi-agent teams playing against nature (Q2152496) (← links)
- Rethinking formal models of partially observable multiagent decision making (Q2667825) (← links)
- Value functions for depth-limited solving in zero-sum imperfect-information games (Q2680767) (← links)
- Multiagent expedition with graphical models (Q2919969) (← links)
- Probabilistic Inference Techniques for Scalable Multiagent Decision Making (Q2941735) (← links)
- An Investigation into Mathematical Programming for Finite Horizon Decentralized POMDPs (Q3563090) (← links)
- Centralized Optimization for Dec-POMDPs Under the Expected Average Reward Criterion (Q4566960) (← links)
- Incremental Clustering and Expansion for Faster Optimal Planning in Dec-POMDPs (Q4913756) (← links)
- (Q5054599) (← links)
- Decision-Theoretic Planning Under Anonymity in Agent Populations (Q5371002) (← links)
- Solving zero-sum one-sided partially observable stochastic games (Q6098841) (← links)
- HSVI can solve zero-sum partially observable stochastic games (Q6624522) (← links)
