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Results tagged with reinforcement-learning
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user 74772
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
1
answer
368
views
Getting always the same action on an A2C from stable_baselines3
I'm quite new to RL and have been trying to train an A2C model from stable_baselines3 to derive an integer sequence based on 3 other input sequences of floats. I have a custom gym environment that com …
- 151
4
votes
1
answer
243
views
Training an RL model with an environment where some of the variables do not change as a resu...
Typically training an RL model requires an action and an observation space, and the agent learns how its actions affect the observations. Even though there are cases where the observation space contai …
- 151