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Commits on Mar 1, 2018

• Updated README with more results

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Commits on Feb 28, 2018

• Only sample if explore flag is enabled

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• Gumbel-softmax sample for exploration, rather than eps-greedy

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• Infer type of tensor for uniform noise

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Commits on Feb 27, 2018

• switch from gradient clipping to gradient norm clipping

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• Allow specification of hidden dimension

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Commits on Feb 26, 2018

• Let's try that again...

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• Resized gifs in README

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• Updated README

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• Small tweaks to training script

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• Added gif creation option to evaluation script

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Commits on Feb 23, 2018

• Made small changes based on OpenAI's code release

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Commits on Feb 22, 2018

• MADDPG critic should take all observations

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Commits on Feb 21, 2018

• Allow loading incremental policies for evaluation

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• Made non-env arguments kwargs

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Commits on Feb 20, 2018

• Fixed iteration counting bug

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• Proper handling of 'done' return values

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Commits on Feb 18, 2018

• Added default type for noise scale args

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Commits on Feb 15, 2018

• Added discrete action space option

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Commits on Feb 13, 2018

• Reshape obs and acs for evaluation script

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• Fix bug in alg selection for coop envs

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• Replay buffer will normalize rewards by default

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• Changed default n_episodes to match paper

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• Added batchnorm to input, and changed 'training' flag to more appropriate 'explore'

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Commits on Feb 12, 2018

• Fix small typo in directory naming code

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• Added script for evaluating saved models

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  88bb46f

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• Added main training script

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• Added model directory to gitignore

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• Added logging capability

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Commits on Feb 11, 2018

• Allow automatically assigning diff algorithms to diff agent types

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Commits on Feb 9, 2018

• Exploration noise does not require gradient

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• Added save and load functionality to models

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• Added support for parallel training

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Commits on Feb 8, 2018

• Added all main framework code

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• Added requirements to README

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