pomdp_py: A Framework to Build and Solve POMDP Problems.
Kaiyu ZhengStefanie TellexPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- partially observable markov decision processes
- dec pomdps
- partially observable
- finite state
- state space
- partial observability
- solving complex
- belief state
- mathematical programming
- dynamical systems
- theoretical framework
- main contribution
- partially observable markov decision process
- np complete
- continuous state
- decision making under uncertainty
- optimal policy
- multi agent
- planning under uncertainty
- belief space
- lower bound
- neural network