OpenAI News·· 2018-12-06AI 评分21
OpenAI 发布 CoinRun 强化学习环境以量化泛化能力
Quantifying generalization in reinforcement learning
AI 导读
OpenAI 推出名为 CoinRun 的强化学习训练环境,旨在提供衡量智能体将经验迁移至新情境能力的指标。该环境复杂度介于传统平台游戏与简单任务之间,既比《索尼克》等游戏更简洁,又能为当前最先进算法带来有效的泛化挑战,有助于厘清强化学习领域的长期难题。
原文
We’re releasing CoinRun, a training environment which provides a metric for an agent’s ability to transfer its experience to novel situations and has already helped clarify a longstanding puzzle in reinforcement learning. CoinRun strikes a desirable balance in complexity: the environment is simpler than traditional platformer games like Sonic the Hedgehog but still poses a worthy generalization challenge for state of the art algorithms.
来源:OpenAI News · openai.com