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Results tagged with reinforcement-learning
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user 84196
For questions related to reinforcement learning, i.e. a machine learning technique where we imagine an agent that interacts with an environment (composed of states) in time steps by taking actions and receiving rewards (or reinforcements), then, based on these interactions, the agent tries to find a policy (i.e. a behavioural strategy) that maximizes the cumulative reward (in the long run), so the goal of the agent is to maximize the reward.
2
votes
Accepted
Why is policy gradient theorem so important?
I'm also a newbie in the field, so I just want to share my view.
When I was understanding this problem, I divided the problem into two scenarios. Firstly, the scenario where we utilize a linear policy …
- 46
1
vote
What is the intuition behind TD($\lambda$)?
I would argue that maybe the word "incremental" could be better.
Instead of directly comparing the Monte Carlo and the TD($\lambda$), I would like to compare the $\lambda$-return and the TD($\lambda$) …
- 46