Natural Environment Benchmarks for Reinforcement Learning

14 Nov 2018Amy ZhangYuxin WuJoelle Pineau

While current benchmark reinforcement learning (RL) tasks have been useful to drive progress in the field, they are in many ways poor substitutes for learning with real-world data. By testing increasingly complex RL algorithms on low-complexity simulation environments, we often end up with brittle RL policies that generalize poorly beyond the very specific domain... (read more)

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