Towards Computing Optimal Policies for Decentralized POMDPs

Modeling and Planning with Macro-Actions in Decentralized POMDPs

An optimal policy beginning at state s is π * ( s ) = argmax π V π ( s ) . The goal is to maximize the total cumulative reward, beginning at ...

Constraint-Based Dynamic Programming for Decentralized ... - CORE

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

An investigation into Mathematical Programming for Finite Horizon ...

... to find exact optimal joint policies for DEC-POMDPs. ... Taming decentralized POMDPs: towards efficient policy computation for multiagent setting.

POMDP-based Communication in Multiagent Systems

In the previous section we proposed using a POMDP model to compute the policy for one agent k, treating all other agents as if they were following the optimal ...

Social Model Shaping for Solving Generic DEC-POMDPs

is to compute a joint policy that maximizes expected value. The core ... Taming decentralized pomdps: Towards efficient policy com- putation for ...

Distributed Model Shaping for Scaling to Decentralized POMDPs ...

Step 2: Use received messages to shape individual models and re-compute policies. ... DEC-POMDP algorithm capable of computing policies for. 100 agents in around ...

Open Decentralized POMDPs - IEEE Xplore

Each policy is calculated to be a best-response to every other agents' policies. Using this approximate algorithm allows to quickly compute efficient policies ...

Multi-agent reinforcement learning as a rehearsal for decentralized ...

... to rehearse using information that will not be available during execution. We have shown that RLaR can learn near-optimal policies for some ...

‪Ranjit Nair‬ - ‫محقق Google‬ - Google Scholar

Towards computing optimal policies for decentralized pomdps‏. R Nair, M Tambe, M Yokoo, D Pynadath, S Marsella‏. Notes of the 2002 AAAI Workshop on Game ...

What to Communicate? Execution-time Decision in Multi-agent ...

The problem of generating optimal policies for multi-agent POMDPs is known ... ized POMDPs: Towards efficient policy computation for multiagent settings.

Letting loose a SPIDER on a network of POMDPs

value is the best response policy. Pruning refers to avoiding exploring all policies (or computing expected values) at agent i by using the current best ...

Solving decentralized POMDP problems using genetic algorithms

Optimal fixed-size controllers for decentralized POMDPs. In ... Taming decentralized POMDPs: Towards efficient policy computation for multiagent settings.

Paper - UvA-DARE (Digital Academic Repository)

Keywords: multiagent planning, decentralized POMDPs, combinatorial optimization ... Taming decentralized POMDPs: To- wards efficient policy computation for ...

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

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

Computing Optimal Policies for Partially Observable Decision ...

tional probability matrices to represent POMDPs, and use this representation to structure the belief space for POMDP algorithms. This allows irrelevant ...

‪Ranjit Nair‬ - ‪Google 학술 검색‬ - Google Scholar

Taming decentralized POMDPs: Towards efficient policy computation for multiagent settings ... Towards computing optimal policies for decentralized pomdps. R Nair, ...

Achieving goals in decentralized POMDPs | Sciweavers

... optimal under some common assumptions – that ... We examine an approach to model these problems as indeﬁnite-horizon decentralized POMDPs ...

ICML 2024 Papers

Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error ... Decentralized Nonsmooth Nonconvex Stochastic Optimization · Learning a ...

Number of possible joint policies in a Dec-POMDP and the time ...

What book were you reading? What don't you understand specifically and what you understand? Edit your post to include this info. Moreover, ...

Lecture 4, 2024, POMDP, Systems with Changing ... - YouTube

... optimization and by approximation in value space. A POMDP formulation of adaptive control, application to the Wordle puzzle. Model ...