30 citations · 64 across the 11 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.LG2023★ 5 cited
Neural Episodic Control with State Abstraction
Zhuo Li, Derui Zhu, Yujing Hu +6
Existing Deep Reinforcement Learning (DRL) algorithms suffer from sample inefficiency. Generally, episodic control-based approaches are solutions that leverage highly-rewarded past…
cs.LG2023★ 1 cited
Effective Multimodal Reinforcement Learning with Modality Alignment and Importance Enhancement
Jinming Ma, Feng Wu, Yingfeng Chen +2
Many real-world applications require an agent to make robust and deliberate decisions with multimodal information (e.g., robots with multi-sensory inputs). However, it is very chal…
cs.AI2023★ 2 cited
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning
Rundong Wang, Longtao Zheng, Wei Qiu +7
Recent advances in multi-agent reinforcement learning (MARL) allow agents to coordinate their behaviors in complex environments. However, common MARL algorithms still suffer from s…