DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards

1 code implementation • 21 Apr 2023 • Shanchuan Wan, Yujin Tang, Yingtao Tian, Tomoyuki Kaneko

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 extrinsic rewards.

Reinforcement Learning (RL)