Co-occurring keywords · papers mentioning both
Papers
Marginal Benefit Driven RL Teacher for Unsupervised Environment Design
AAAI 2025
Active Reinforcement Learning for Robust Building Control
AAAI 2024
Adversarial Environment Design via Regret-Guided Diffusion Models
NeurIPS 2024
Improving Environment Novelty Quantification for Effective Unsupervised Environment Design
NeurIPS 2024
No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery
NeurIPS 2024
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
ICML 2023
Generalization through Diversity: Improving Unsupervised Environment Design
IJCAI 2023
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
ICLR 2023
Grounding Aleatoric Uncertainty for Unsupervised Environment Design
NeurIPS 2022
Replay-Guided Adversarial Environment Design
NeurIPS 2021
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
NeurIPS 2020