Hyperbolic Deep Reinforcement Learning.
Edoardo CetinBenjamin Paul ChamberlainMichael M. BronsteinJonathan J. HuntPublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- function approximation
- reinforcement learning algorithms
- machine learning
- robotic control
- temporal difference
- state space
- learning algorithm
- multi agent
- optimal policy
- transfer learning
- deep learning
- multi agent reinforcement learning
- stochastic approximation
- optimal control
- reward function
- learning agents
- neural network
- active learning
- relational reinforcement learning
- temporal difference learning
- control problems
- bayesian networks
- partial differential equations
- markov decision processes
- supervised learning
- learning process