Reinforcement schedules: Fixed ratio/interval and Variable ... - Reddit
Jun 20, 2019 · Yeah, Continued Reinforcement is reward for every correct behavior (continuous) but since fixed ratio is reward after x number of responses, you could just say x = 1.
Which reinforcement schedule is the best? : r/Mcat - Reddit
Jun 4, 2017 · Which reinforcement schedule is the best? I know that the partial reinforcement schedules > continuous reinforcement (less likely to go extinct). Does this mean the hierarchy is like this? …
How does variable ratio partial reinforcement compare to just ...
Apr 14, 2021 · You are correct about your example. Beginning with continuous reinforcement then transitioning to variable ratio would increase the frequency of the behavior. Variable ratio supplies …
P/S SB #13 : r/Mcat - Reddit
May 18, 2019 · On a continuous reinforcement schedule, every behavior will be reinforced. This makes it very easy to understand what behaviors work and which don't. Accumulating pleasure doesn't really …
Discrete vs Continuous action space : r/reinforcementlearning - Reddit
Dec 30, 2021 · Reinforcement learning is a subfield of AI/statistics focused on exploring/understanding complicated environments and learning how to optimally acquire rewards. Examples are AlphaGo, …
AAMC section bank p/s #13- need help! : r/Mcat - Reddit
Apr 13, 2020 · As a rule of thumb, continuous reinforcement doesn't account for anything besides if it is a correct or incorrect behavior. C - You could argue that continuous reinforcement is the greatest …
Continuous Reinforcement? : r/Mcat - Reddit
May 26, 2020 · Hi guys - just a really quick question about continuous reinforcement because found some discrepancies - some sources say that it is when every behavior is rewarded, WHETHER it is …
question on differential and intermittent reinforcement
Mar 15, 2021 · You can use continuous reinforcement or intermittent reinforcement during a DR schedule, but you have to balance it so they're contacting reinforcement for the replacement …
Training a RL Model with Continuous State & Action Space in a
Oct 15, 2023 · Training a RL Model with Continuous State & Action Space in a Real-World Scenario Hello everyone, I'm a Data Science student diving into an exciting thesis topic: using reinforcement …
Reinforcement learning for continuous action spaces
Mar 11, 2022 · Reinforcement learning for continuous action spaces Hellooo! Actually I am applying DDPG algorithm in a problem with three action spaces. all of them are defined as: self.action_space …