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Results tagged with ai
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user 67537
AI (Artificial Intelligence) is a branch of computer science concerned with creating human-like intelligence in machines (including perception, learning, problem solving and decision making).
1
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answers
89
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Rewards are converged but with a lot of variations
I am training a reinforcement learning agent on an episodic task of fixed episode length. I am tracking the training process by plotting the cumulative rewards over an episode. I am using tensorboard …
- 565
1
vote
2
answers
119
views
Does an RL agent learn during exploitation?
I have started with RL and have some doubts regarding it.
Does an RL agent learn during exploitation, or does it only learn during exploration?
Is it possible to train a model only using exploitatio …
- 565
3
votes
1
answer
6k
views
Policy Gradient with continuous action space
How to apply reinforce/policy-gradient algorithms for continuous action space. I have learnt that one of the advantages of policy gradients is , it is applicable for continuous action space. One way I …
- 565
1
vote
0
answers
56
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temperature variable in boltzmmann-exploration in reinforcement learning
I have been using epsilon greedy action selection strategy and recently have come across boltzmann(softmax) action selection strategy. One thing I am not clear about boltzmann exploration is the tempe …
- 565
0
votes
1
answer
96
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Reward is converging but actions taken by trained agent are illogical in reinforcement learning
I am training a reinforcement learning agent using DQN. My state space has 6 variables and the agent can one action which is discretized into 500 actions
My reward structure looks like
thermal_coef …
- 565
0
votes
1
answer
268
views
How to handle differences between training and deploying of an RL agent
Hi I am training an RL agent for a control problem. The objective of the agent is to maintain temperature in a zone. It is an episodic task with episode length of 10 hrs and actions being taken every …
- 565
1
vote
1
answer
71
views
Formulation of a reward structure
I am new to reinforcement learning and experimenting with training of RL agents.
I have a doubt about reward formulation, from a given state if a agent takes a good action i give a positive reward, a …
- 565
2
votes
1
answer
625
views
Having a reward structure which gives high positive rewards compared to the negative rewards
I am training an RL agent using PPO algorithm for a control problem. The objective of the agent is to maintain temperature in a room. It is an episodic task with episode length of 9 hrs and step size( …
- 565
1
vote
2
answers
799
views
How to calculate Temperature variable in softmax(boltzmann) exploration
Hi I am developing a reinforcement learning agent for a continous state/discrete action space. I am trying to use boltmzann/softmax exploration as action selection strategy. My action space is of size …
- 565