Rethinking Exploration in RLVR: From Entropy Regularization to Refinement via Bidirectional Entropy Modulation

This arxiv paper proposes replacing entropy regularization with bidirectional entropy modulation to improve exploration in reinforcement learning with variable rewards (RLVR). The technique targets more efficient exploration behavior in RL agents operating in variable-reward environments.