activity
20222025
most citedRewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning

5 citations · 6 across the 10 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.AI2023

RLLTE: Long-Term Evolution Project of Reinforcement Learning

Mingqi Yuan, Zequn Zhang, Yang Xu +4

We present RLLTE: a long-term evolution, extremely modular, and open-source framework for reinforcement learning (RL) research and application. Beyond delivering top-notch algorith…

cs.LG2023★ 1 cited

Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning

Mingqi Yuan, Bo Li, Xin Jin +1

We present AIRS: Automatic Intrinsic Reward Shaping that intelligently and adaptively provides high-quality intrinsic rewards to enhance exploration in reinforcement learning (RL).…