Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes.
Stelios TriantafyllouAdish SinglaGoran RadanovicPublished in: AIES (2022)
Keyphrases
- partially observable markov decision processes
- dec pomdps
- multi agent
- finite state
- reinforcement learning
- dynamic programming
- belief state
- dynamical systems
- continuous state
- decision problems
- planning under uncertainty
- partially observable stochastic games
- belief space
- optimal policy
- partial observability
- decision theoretic planning
- sequential decision making problems
- infinite horizon
- markov decision processes
- stochastic domains
- partially observable domains
- decision theoretic
- cooperative
- predictive state representations
- single agent
- distributed systems
- state space
- partially observable
- planning problems
- point based value iteration
- partially observable markov
- markov chain
- causal models
- lower bound
- learning algorithm
- machine learning