New answers tagged proximal-policy-optimization
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How to model a multi-agent reinforcement learning problem where actions of different agents can take different durations?
" ... how I would be able to model a multi-agent reinforcement learning problem when each agent performing an action would take different durations to complete the action.
... where vehicles on a ...
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Accepted
PPO custom implementation: do metrics like value loss, actor loss and entropy move a certain way?
It's difficult to tell how the output of the loss changes over the course of the experiment as you use them as a measure on how well your model performs. Ideally, the loss decreases over time with ...
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Why is training longer not better in reinforcement learning?
Could it be due to catastrophic forgetting/interference? If once the agent reaches 320K steps it becomes good at the task, it might start to experience only success. This could cause the agent to ...
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Accepted
How does PPO account for the last reward?
I actually feel kinda dumb writing this, but the update is made if the TOTAL environment steps is a multiple of the time horizon. I did, recode my PPO algorithm, and it seems to eventually solve the ...
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