117 citations · 278 across the 28 of their papers we have counts for
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cs.LG2017★ 117 cited
AI Safety Gridworlds
Jan Leike, Miljan Martic, Victoria Krakovna +5
We present a suite of reinforcement learning environments illustrating various safety properties of intelligent agents. These problems include safe interruptibility, avoiding side…
cs.AI2017
Reinforcement Learning with a Corrupted Reward Channel
Tom Everitt, Victoria Krakovna, Laurent Orseau +2
No real-world reward function is perfect. Sensory errors and software bugs may result in RL agents observing higher (or lower) rewards than they should. For example, a reinforcemen…