chihoxtra
commented
5 years ago I too wanted to know the answer please.
Closed ZeratuuLL closed 5 years ago
chihoxtra
commented
5 years ago I too wanted to know the answer please.
ZeratuuLL
commented
5 years ago After some test it should be the fixed goal....
chihoxtra
commented
5 years ago I think so too. I was training my humble agent and it’s gaiining score and the visual shows that its always facing the same direction. I guess it is a fixed goal. Thanks man!
sam
On 13 Apr 2019, at 2:42 AM, Lifeng Wei notifications@github.com wrote:
After some test it should be the fixed goal....
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ZeratuuLL
commented
5 years ago Np! What kind of results are you getting? The dimension info is different from Unity page so I am not sure if the benchmarks are still reliable.... I can get an average around 1800 but cannot get further....
Lifeng Wei.
From my phone and apology for any typos
On Apr 12, 2019 at 11:44 AM, <Samuel Pun (mailto:notifications@github.com)> wrote:
I think so too. I was training my humble agent and it’s gaiining score and the visual shows that its always facing the same direction. I guess it is a fixed goal. Thanks man!
sam
On 13 Apr 2019, at 2:42 AM, Lifeng Wei notifications@github.com wrote:
After some test it should be the fixed goal....
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/udacity/deep-reinforcement-learning/issues/16#issuecomment-482681626, or mute the thread https://github.com/notifications/unsubscribe-auth/AMvt5Sz9ja7TCTA79SP0BcSpfUGoH_cIks5vgNOpgaJpZM4bJKm-.
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chihoxtra
commented
5 years ago envy you! I have just started and I am trying to use PPO to solve the problem. I am only able to get to around 100 scores (average of rewards of pass 100 episodes across agents once any of the agent reached ‘done’). May I ask how many layers of network did you use?
On 13 Apr 2019, at 5:26 AM, Lifeng Wei notifications@github.com wrote:
Np! What kind of results are you getting? The dimension info is different from Unity page so I am not sure if the benchmarks are still reliable.... I can get an average around 1800 but cannot get further....
Lifeng Wei.
From my phone and apology for any typos
On Apr 12, 2019 at 11:44 AM, <Samuel Pun (mailto:notifications@github.com)> wrote:
I think so too. I was training my humble agent and it’s gaiining score and the visual shows that its always facing the same direction. I guess it is a fixed goal. Thanks man!
sam
On 13 Apr 2019, at 2:42 AM, Lifeng Wei notifications@github.com wrote:
After some test it should be the fixed goal....
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/udacity/deep-reinforcement-learning/issues/16#issuecomment-482681626, or mute the thread https://github.com/notifications/unsubscribe-auth/AMvt5Sz9ja7TCTA79SP0BcSpfUGoH_cIks5vgNOpgaJpZM4bJKm-.
— You are receiving this because you modified the open/close state. Reply to this email directly, view it on GitHub (https://github.com/udacity/deep-reinforcement-learning/issues/16#issuecomment-482682316), or mute the thread (https://github.com/notifications/unsubscribe-auth/AVj1AKuNAhHfjsJ0xpvm-oJ4soxzgyvQks5vgNQmgaJpZM4bJKm-).
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ZeratuuLL
commented
5 years ago You can check my repo here. https://github.com/ZeratuuLL/Reinforcement-Learning/tree/master/Continuous%20Control/Crawler
It's not easy to say the structure directly....
I am trying to solve the Crawler environment in Continuous control task. I have read the Unity webpage and realized that there were two environments. One with static target and one with dynamic target. Which one is provided through the links? Thank you!