Restoring Chaos Using Deep Reinforcement Learning.
Sumit VashishthaSiddhartha VermaPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- function approximation
- neural network
- reinforcement learning algorithms
- multi agent
- learning algorithm
- temporal difference learning
- optimal policy
- model free
- state space
- particle swarm optimization
- markov decision processes
- optimal control
- genetic algorithm and simulated annealing
- direct policy search
- multi agent reinforcement learning
- reward function
- temporal difference
- learning problems
- data sets
- dynamic programming
- hidden markov models
- learning capabilities
- deep learning
- learning process
- reinforcement learning methods
- multi agent systems
- policy search
- chaos theory
- information retrieval
- fitted q iteration
- decision trees