Comments (3)
@JunchenJin Hey! We don't plan on adding those models anytime soon. The current plan is to improve the tooling, documentation, etc.. We may add new model architectures such as probabilistic neural nets, bayesian neural nets, etc.. If you add any of those models, submit a PR! :-D
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Piggy backing off of this, are there any plans for incorporating more sample efficient methods?
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@dcompgriff We are working on Bayesian DQN and some model-based methods :-D
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Related Issues (20)
- Plot of CPE during training
- Handle datasets with no terminating states HOT 3
- link
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- CPE Functionaility - Purpose of additional CPE Q-Networks?
- Quickstart Examples Not Working HOT 2
- Tutorial not work HOT 1
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- Error when trying to run example commands HOT 1
- missing init causes offline RL example to fail HOT 1
- Have a look over ReAgent
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