Many real-world reinforcement learning (RL) problems necessitate learnin...
Natural and formal languages provide an effective mechanism for humans t...
Deep reinforcement learning has shown promise in discrete domains requir...
Reinforcement learning (RL) is a central problem in artificial intellige...
Recent work in AI safety has highlighted that in sequential decision mak...
Human beings, even small children, quickly become adept at figuring out ...
We address the problem of teaching a deep reinforcement learning (RL) ag...
Sequence classification is the task of predicting a class label given a
...
Reinforcement learning (RL) methods usually treat reward functions as bl...
Reinforcement Learning (RL) agents typically learn memoryless
policies—p...
The knowledge representation community has built general-purpose ontolog...