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Results tagged with reinforcement-learning
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user 26876
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.
1
vote
Reinforcement learning: How to deal with illegal actions?
In my project I also had the problem that the action space is not the same for every state of the environment. I do not like the approach to penalty forbidden actions with a high negative reward since …
- 81
4
votes
Why is the log probability replaced with the importance sampling in the loss function?
For everybody getting here from google, like me: the $\log$ might have been replaced in the loss function, but I think it is still there when taking the gradient of both functions (correct me, if I am …
- 81
2
votes
0
answers
206
views
Is it possible to use Reward Function of type R(s, a, s') if more than one action is applied?
I am applying a reinforcement learning agent (PPO2, stable baselines implementation) to a custom built environment using OpenAI Gym. One reward function (formualted as loss function, that is, all rewa …
- 81