Meta-operators for Enabling Parallel Planning Using Deep Reinforcement Learning.
Ángel Aso-MollarEva OnaindiaPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- action selection
- partial observability
- stochastic domains
- macro actions
- markov decision processes
- planning problems
- partially observable
- decision support
- state space
- complex domains
- heuristic search
- macro operators
- mixed initiative
- ai planning
- multi agent
- massively parallel
- dynamic programming
- symbolic model checking
- decision theoretic
- deterministic domains
- learning algorithm
- markov decision problems
- reinforcement learning problems
- reward shaping
- planning process
- reinforcement learning algorithms
- temporal difference
- morphological operators
- parallel implementation
- shared memory
- parallel processing