Rogue-Gym: A New Challenge for Generalization in Reinforcement Learning

17 Apr 2019 Yuji Kanagawa Tomoyuki Kaneko

In this paper, we propose Rogue-Gym, a simple and classic style roguelike game built for evaluating generalization in reinforcement learning (RL). Combined with the recent progress of deep neural networks, RL has successfully trained human-level agents without human knowledge in many games such as those for Atari 2600... (read more)

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METHOD TYPE
Entropy Regularization
Regularization
PPO
Policy Gradient Methods