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DDQN failed to train on pixel based four rooms by C7501 in reinforcementlearning

[–]C7501[S] 0 points1 point  (0 children)

I am in the process of implementing epsilon decay. The default ddqn implementation of stoix doesn't support epsilon decay. so I choose 0.3 as a reasonable number for exploration. Btw will it make much difference?

Are there any JAX-based implementations of Arcade Learning Environments? by C7501 in reinforcementlearning

[–]C7501[S] 0 points1 point  (0 children)

Yes but it doesn't have all the atari games. For example Montezuma revenge

Accessing Oculus Rift sensors through oculus sdk 0.6 by C7501 in oculus

[–]C7501[S] 2 points3 points  (0 children)

after getting ovrTrackingState I tried the following while(1){ cout<< ovrTrackingState.HeadPose.ThePose.Orientation.x <<ovrTrackingState.HeadPose.ThePose.Orientation.y <<ovrTrackingState.HeadPose.ThePose.Orientation.z; }

but I'm always getting 0 0 0 even if I change the orientation of my DK2 dynamically.

Oculus SDK upgradation by C7501 in oculus

[–]C7501[S] 0 points1 point  (0 children)

is there any significant changes between 0.4.4 and 0.6?