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arXiv · 1805.11016

Memory Augmented Self-Play

Shagun Sodhani·Vardaan Pahuja
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Abstract

Self-play is an unsupervised training procedure which enables the reinforcement learning agents to explore the environment without requiring any external rewards. We augment the self-play setting by providing an external memory where the agent can store experience from the previous tasks. This enables the agent to come up with more diverse self-play tasks resulting in faster exploration of the environment. The agent pretrained in the memory augmented self-play setting easily outperforms the agent pretrained in no-memory self-play setting.

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Shagun Sodhani, Vardaan Pahuja. 2018-05-28. Memory Augmented Self-Play. https://arxiv.org/abs/1805.11016

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