Difference between revisions of "Allen's REINFORCE notes"
| Line 3: | Line 3: | ||
=== Links === | === Links === | ||
| − | * [http://www.incompleteideas.net/book/RLbook2020.pdf | + | * [http://www.incompleteideas.net/book/RLbook2020.pdf RLbook2020] |
[[Category:Reinforcement Learning]] | [[Category:Reinforcement Learning]] | ||
Revision as of 20:24, 24 May 2024
Allen's REINFORCE notes
Links
Motivation
Learning
Learning involves the agent taking actions and the environment returning a new state and reward.
- Input: : States at each time step
- Output: Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle a_t} : Actions at each time step
- Data: Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle (s_1, a_1, r_1, ... , s_T, a_T, r_T)}
- Learn Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \pi_\theta : s_t -> a_t } to maximize Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \sum_t r_t }
