malib.models package

Subpackages

• malib.models.torch package
  • Submodules
  • malib.models.torch.continuous module
    • Actor
      • Actor.forward()
      • Actor.training
    • ActorProb
      • ActorProb.forward()
      • ActorProb.training
    • Critic
      • Critic.forward()
      • Critic.training
    • Perturbation
      • Perturbation.forward()
      • Perturbation.training
    • RecurrentActorProb
      • RecurrentActorProb.forward()
      • RecurrentActorProb.training
    • RecurrentCritic
      • RecurrentCritic.forward()
      • RecurrentCritic.training
    • VAE
      • VAE.decode()
      • VAE.forward()
      • VAE.training
  • malib.models.torch.discrete module
    • Actor
      • Actor.forward()
      • Actor.training
    • CosineEmbeddingNetwork
      • CosineEmbeddingNetwork.forward()
      • CosineEmbeddingNetwork.training
    • Critic
      • Critic.forward()
      • Critic.training
    • FractionProposalNetwork
      • FractionProposalNetwork.forward()
      • FractionProposalNetwork.training
    • ImplicitQuantileNetwork
      • ImplicitQuantileNetwork.forward()
      • ImplicitQuantileNetwork.training
    • IntrinsicCuriosityModule
      • IntrinsicCuriosityModule.forward()
      • IntrinsicCuriosityModule.training
    • NoisyLinear
      • NoisyLinear.f()
      • NoisyLinear.forward()
      • NoisyLinear.reset()
      • NoisyLinear.sample()
      • NoisyLinear.training
    • sample_noise()
  • malib.models.torch.net module
    • ActorCritic
      • ActorCritic.training
    • DataParallelNet
      • DataParallelNet.forward()
      • DataParallelNet.training
    • MLP
      • MLP.forward()
      • MLP.training
    • Net
      • Net.forward()
      • Net.training
    • Recurrent
      • Recurrent.forward()
      • Recurrent.training
    • make_net()
    • miniblock()