Towards Computing Optimal Policies for Decentralized POMDPs

Average-Reward Decentralized Markov Decision Processes

computing the optimal policy of the other agent [Nair et al., ... Taming decentralized POMDPs: Towards efficient policy computation for multiagent set- tings.

Point Based Value Iteration with Optimal Belief Compression for Dec ...

... compute their next action without needing to plan their entire policy. 7 ... Optimal and approximate q-value functions for decentralized pomdps.

Q-value functions for decentralized POMDPs - ORBilu

... optimal Q-value function may be as costly as exhaustive policy ... Taming decentralized POMDPs: Towards efficient policy computation for multiagent settings.

Constraint-Based Dynamic Programming for Decentralized ...

value function structured, making it easier to compute the optimal policy. Unfortunately, this is not the case. The value function eventually depends on all ...

Planning in Decentralized POMDPs with Predictive Policy ...

Planning algorithms for DEC-POMDPs aim to find the best joint policy of horizon T, which is a collection of several lo- cal policies, one for each agent. A ...

Optimal and Approximate Q-value Functions for Decentralized ...

... to compute optimal or sub-optimal policies. We describe a ... Taming decen- tralized POMDPs: Towards efficient policy computation for multiagent settings.

Open Decentralized POMDPs | IEEE Conference Publication

... to compute joint policies. Our algorithm can dynamically adapt to the team flexibility and computes locally optimal solutions. Experiments demonstrate that ...

Deep reinforcement learning driven inspection and maintenance ...

... policy parameters, nonetheless, they are decentralized in terms of policy outputs. ... computational burden for maintenance policy optimization. Two examples are ...

Approximate Information State for Approximate Planning and ...

So, an optimal policy always exists and the important question is to determine an efficient algorithm to compute the optimal policy. In Sec. 2.2, we start ...

Towards a Unifying Characterization for Quantifying Weak Coupling ...

Equation 1 below reduces the computation of an optimal joint policy for a three agent Dec-POMDP problem (such as in Figure 1) to a series of best response ...

Communication for Improving Policy Computation in Distributed ...

der to find locally optimal joint policies that allow agents to coordinate ... Taming decentralized POMDPs: Towards efficient policy computation for ...

Subjective Approximate Solutions for Decentralized POMDPs

As a heuristic for computing expected optimal reward. EV , we ... Taming decentralized POMDPs: towards efficient policy computation for multiagent settings.

Optimal and approximate Q-value functions for decentralized POMDPs

Next, we show how these approximate Q-value functions can be used to compute optimal or sub-optimal policies. We describe a generic policy search algorithm, ...

Value of communication in decentralized POMDPs - Academia.edu

Related papers. Towards Computing Optimal Policies for Decentralized POMDPs · Ranjit Nair. 2002. downloadDownload free PDF View PDFchevron_right · What to ...

Decentralized Control of Partially Observable Markov Decision ...

The remaining agent can then calculate a best response (local optimum) to the fixed policies. ... Marsella, “Taming decentralized POMDPs: Towards efficient policy ...

Optimizing Fixed-Size Stochastic Controllers for POMDPs ... - People

Value iteration is an optimal dynamic programming algorithm for finding solutions to ... Taming decentralized. POMDPs: Towards efficient policy computation for ...

Planning in Decentralized POMDPs with Predictive Policy ...

Planning algorithms for DEC-POMDPs aim to find the best ... Table 1: The values of the optimal policies returned by. PBDP using decision trees and PPRs to ...

Point Based Value Iteration with Optimal Belief Compression for Dec ...

... compute their next action without needing to plan their entire policy. 7 ... Optimal and approximate q-value functions for decentralized pomdps.

Expectation maximization for average reward decentralized POMDPs

We use a uniformly random policy as baseline. For (loose) upper bounds we compute the optimal solution to the average reward MDP underlying the DEC-POMDP ...

Decentralized control of partially observable Markov decision ...

The remaining agent can then calculate a best response (local optimum) to the fixed policies. ... Marsella, “Taming decentralized POMDPs: Towards efficient policy ...