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Found 2 papers, 2 papers with code
Learning Diverse Options via InfoMax Termination Critic
We consider the problem of autonomously learning reusable temporally extended actions, or options, in reinforcement learning.
Rogue-Gym: A New Challenge for Generalization in Reinforcement Learning
Following these studies, we propose the use of roguelikes as a benchmark for evaluating the generalization ability of RL agents.
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