TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	REMOVE

Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU

18 Nov 2016 • Mohammad Babaeizadeh • Iuri Frosio • Stephen Tyree • Jason Clemons • Jan Kautz

We introduce a hybrid CPU/GPU version of the Asynchronous Advantage Actor-Critic (A3C) algorithm, currently the state-of-the-art method in reinforcement learning for various gaming tasks. We analyze its computational traits and concentrate on aspects critical to leveraging the GPU's computational power... (read more)

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NVlabs/GA3C official

595

Sheepsody/Batched-Impala-PyTorch

10

nicoladainese96/SC2-RL

5

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Methods used in the Paper

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METHOD	TYPE
Entropy Regularization	Regularization
Convolution	Convolutions
Dense Connections	Feedforward Networks
Softmax	Output Functions
A3C	Policy Gradient Methods