Policy Gradient Methods
Policy Gradient Methods are a class of reinforcement learning algorithms that optimize the parameters of a policy function to maximize the expected cumulative reward. Unlike value-based methods, which estimate the optimal value function and derive the policy from it, policy gradient methods directly optimize the policy function. This is done by computing the gradient of the expected cumulative reward with respect to the policy parameters and updating them using stochastic gradient ascent. Policy gradient methods can handle continuous action spaces and are well-suited for problems with high-dimensional state spaces. They can also incorporate prior knowledge or constraints into the optimization process, making them more flexible than value-based methods.
Your Previous Searches
Random Picks
- Knowledge-Based Filtering: Knowledge-Based Filtering is a technique used in Data Science and Artificial Intelligence to filter and analyze data based on pre-defined knowledge or rules. It involves the use of expert knowledge or domain-specific knowledge to filter out ... Read More >>
- Mutable Data: Mutable data refers to data that can be changed or modified after it has been created. In the context of data science and artificial intelligence, mutable data is often used in machine learning algorithms where the data is constantly update ... Read More >>
- Left Outer Join: In data science, a left outer join is a type of join operation used to combine two tables or data sets based on a common attribute or column. The result of a left outer join includes all the rows from the left table and the matching rows fr ... Read More >>
Top News
Tech giants see emissions surge 150 percent in 3 years amid AI boom: UN...
Artificial intelligence, cloud computing and data centres led to a spike in electricity demand between 2020 and 2023....
News Source: Al Jazeera English on 2025-06-06
‘Ghost networks' are harming patients, but attempts to eliminate them have fal...
Insurance companies often refer patients to lists of providers who are unreachable, out of network or don’t accept new patients....
News Source: NBC News on 2025-06-05
Palantir CEO Karp says AI is dangerous and 'either we win or China will win'...
Palantir CEO Alex Karp said the artificial intelligence arms race between the U.S. and China will culminate in one country coming out on top....
News Source: NBC News on 2025-06-05
Palantir has soared 74% this year alone. 3 reasons why it's been one of the worl...
Palantir was the second-most bought stock among retail traders in the last five days, according to a firm that tracks flows from individual investors....
News Source: Business Insider on 2025-06-05
Harris-Walz campaign may have been targeted by iPhone hackers, cybersecurity fir...
One of the few companies to specialize in iPhone cybersecurity said that it has uncovered evidence of a potentially groundbreaking hacking campaign....
News Source: NBC News on 2025-06-05