Enhancing text-based reinforcement learning agents with commonsense knowledge
arXiv preprint arXiv:2005.00811, 2020•arxiv.org
In this paper, we consider the recent trend of evaluating progress on reinforcement learning
technology by using text-based environments and games as evaluation environments. This
reliance on text brings advances in natural language processing into the ambit of these
agents, with a recurring thread being the use of external knowledge to mimic and better
human-level performance. We present one such instantiation of agents that use
commonsense knowledge from ConceptNet to show promising performance on two text …
technology by using text-based environments and games as evaluation environments. This
reliance on text brings advances in natural language processing into the ambit of these
agents, with a recurring thread being the use of external knowledge to mimic and better
human-level performance. We present one such instantiation of agents that use
commonsense knowledge from ConceptNet to show promising performance on two text …
In this paper, we consider the recent trend of evaluating progress on reinforcement learning technology by using text-based environments and games as evaluation environments. This reliance on text brings advances in natural language processing into the ambit of these agents, with a recurring thread being the use of external knowledge to mimic and better human-level performance. We present one such instantiation of agents that use commonsense knowledge from ConceptNet to show promising performance on two text-based environments.
arxiv.org
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