Internally Rewarded Reinforcement Learning.
Mengdi LiXufeng ZhaoJae Hee LeeCornelius WeberStefan WermterPublished in: ICML (2023)
Keyphrases
- reinforcement learning
- function approximation
- partially observable
- state space
- markov decision processes
- model free
- data sets
- machine learning
- optimal policy
- robotic control
- control problems
- dynamic programming
- learning problems
- reinforcement learning methods
- reinforcement learning algorithms
- database
- multi agent
- temporal difference
- transfer learning
- expert systems
- objective function
- continuous state
- multi agent reinforcement learning
- policy search
- case study
- partially observable domains
- direct policy search