Add to ORKGWe examine the problem of generating state-space compressions of POMDPs in a way that minimally impacts decision quality. We analyze the impact of compressions on decision quality, observing that compressions that allow accurate policy evaluation (prediction of expected future reward) will not affect decision quality. We derive a set of sufficient conditions that ensure accurate prediction in this respect, illustrate interesting mathematical properties these confer on lossless linear compressions, and use these to derive an iterative procedure for finding good linear lossy compressions. We also elaborate on how structured representations of a POMDP can be used to find such compressions.
Current studies have demonstrated that the representational power of predictive state representation...
High dimensionality of belief space in DEC-POMDPs is one of the major causes that makes the optimal ...
High dimensionality of belief space in DEC-POMDPs is one of the major causes that makes the optimal ...
We examine the problem of generating state-space compressions of POMDPs in a way that minimally impa...
We examine the problem of generating state-space compressions of POMDPs in a way that minimally impa...
We examine the problem of generating state-space compressions of POMDPs in a way that minimally imp...
High dimensionality of belief space in partially observable Markov decision processes (POMDPs) is on...
High dimensionality of belief space in partially observable Markov decision processes (POMDPs) is on...
Current studies have demonstrated that the representational power of predictive state representation...
Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous framew...
Standard value function approaches to finding policies for Partially Observable Markov Decision Proc...
Standard value function approaches to finding policies for Partially Observable Markov Decision Proc...
Standard value function approaches to finding policies for Partially Observable Markov Decision Proc...
Standard value function approaches to finding policies for Partially Observable Markov Decision Proc...
Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous frame-wo...
Current studies have demonstrated that the representational power of predictive state representation...
High dimensionality of belief space in DEC-POMDPs is one of the major causes that makes the optimal ...
High dimensionality of belief space in DEC-POMDPs is one of the major causes that makes the optimal ...
We examine the problem of generating state-space compressions of POMDPs in a way that minimally impa...
We examine the problem of generating state-space compressions of POMDPs in a way that minimally impa...
We examine the problem of generating state-space compressions of POMDPs in a way that minimally imp...
High dimensionality of belief space in partially observable Markov decision processes (POMDPs) is on...
High dimensionality of belief space in partially observable Markov decision processes (POMDPs) is on...
Current studies have demonstrated that the representational power of predictive state representation...
Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous framew...
Standard value function approaches to finding policies for Partially Observable Markov Decision Proc...
Standard value function approaches to finding policies for Partially Observable Markov Decision Proc...
Standard value function approaches to finding policies for Partially Observable Markov Decision Proc...
Standard value function approaches to finding policies for Partially Observable Markov Decision Proc...
Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous frame-wo...
Current studies have demonstrated that the representational power of predictive state representation...
High dimensionality of belief space in DEC-POMDPs is one of the major causes that makes the optimal ...
High dimensionality of belief space in DEC-POMDPs is one of the major causes that makes the optimal ...