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Jaebak Hwang

2 accepted papers

2026

Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning

ICLR 2026poster

Long-horizon goal-conditioned tasks pose fundamental challenges for reinforcement learning (RL), particularly when goals are distant and rewards are sparse. While hierarchical and graph-based methods offer partial solutions, their reliance on conventional hindsight relabeling often fails to correct…

Cited by 0SourceScholar
2025

Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning

ICML 2025poster

Traditional robust methods in multi-agent reinforcement learning (MARL) often struggle against coordinated adversarial attacks in cooperative scenarios. To address this limitation, we propose the Wolfpack Adversarial Attack framework, inspired by wolf hunting strategies, which targets an initial age…