51 citations · 125 across the 9 of their papers we have counts for
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cs.LG2023
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards
Shanchuan Wan, Yujin Tang, Yingtao Tian +1
Exploration is a fundamental aspect of reinforcement learning (RL), and its effectiveness is a deciding factor in the performance of RL algorithms, especially when facing sparse ex…
cs.LG2022★ 2 cited
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter
Aleksandar Stanić, Yujin Tang, David Ha +1
Reinforcement learning agents must generalize beyond their training experience. Prior work has focused mostly on identical training and evaluation environments. Starting from the r…