MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

Concise and friendly interfaces for defining MDP and POMDP models for use with POMDPs.jl solvers

Compressed belief-state MDPs in Julia for reinforcement learning and sequential decision making. Part of the POMDPs.jl community.