Solving The Lunar Lander Problem under Uncertainty using Reinforcement Learning.
Soham GadgilYunfeng XinChengzhe XuPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- sequential decision making
- sequential decision problems
- function approximation
- state space
- decision making under uncertainty
- learning algorithm
- reinforcement learning algorithms
- multi agent reinforcement learning
- partial observability
- neural network
- stereo vision
- combinatorial optimization
- multi agent
- solve complex tasks
- problems in artificial intelligence
- reinforcement learning agents
- inherent uncertainty
- control problems
- markov decision problems
- reinforcement learning methods
- optimal control
- learning process
- machine learning