Leander Diaz-Bone

DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning

Sparse-reward reinforcement learning (RL) can model a wide range of highly complex tasks. Solving sparse-reward tasks is RL's core premise — requiring efficient exploration coupled with long-horizon credit assignment — and overcoming these challenges is key for building self-improving agents with su…