Notice
Recent Posts
Recent Comments
Link
| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | ||||
| 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| 11 | 12 | 13 | 14 | 15 | 16 | 17 |
| 18 | 19 | 20 | 21 | 22 | 23 | 24 |
| 25 | 26 | 27 | 28 | 29 | 30 | 31 |
Tags
- convex optimization
- 판다스
- Series
- pandas
- rl
- Jacobian Matrix
- Hessian Matrix
- list
- reinforcement learning
- Linear algebra
- neural network
- 강화학습
- 사이킷런
- statistics
- 유니티
- machine learning
- ML-Agent
- 딥러닝
- 리스트
- unity
- Deep Learning
- Python Programming
- 데이터 분석
- Laplacian
- 모두를 위한 RL
- paper
- David Silver
- 논문
- optimization
- 김성훈 교수님
Archives
목록k-armed bandit (1)
RL Researcher
MAB Problem
1. Multi-Armed Bandit Probelm MAB는 아래와 같습니다. Consider the following learning problem. You are faced repeatedly with a choice among k different options, or actions, After each choice you receive a numerical reward chosen from a stationary probability distribution that depends on the action you selected. Your objective is to maximize the expected total reward over some time period. Expected total ..
Reinfrocement Learning
2021. 2. 19. 02:27