most citedCQM: Curriculum Reinforcement Learning with a Quantized World Model

2 citations · 2 across the 4 of their papers we have counts for

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cs.LG2023

Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum

Jigang Kim, Daesol Cho, H. Jin Kim

While reinforcement learning (RL) has achieved great success in acquiring complex skills solely from environmental interactions, it assumes that resets to the initial state are rea…

cs.LG2023

Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation

Daesol Cho, Seungjae Lee, H. Jin Kim

Current reinforcement learning (RL) often suffers when solving a challenging exploration problem where the desired outcomes or high rewards are rarely observed. Even though curricu…