GACL adds domain grounding via alternating reference and synthetic task sampling to a VAE-based regret-driven curriculum teacher, reporting higher success rates than CLUTR on BARN navigation and quadruped locomotion in simulation.
Benchmarking reinforcement learning techniques for autonomous navigation,
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GACL: Grounded Adaptive Curriculum Learning with Active Task and Performance Monitoring
GACL adds domain grounding via alternating reference and synthetic task sampling to a VAE-based regret-driven curriculum teacher, reporting higher success rates than CLUTR on BARN navigation and quadruped locomotion in simulation.