PPO-BR adapts PPO's clipping threshold with entropy and reward signals, claiming faster convergence and lower variance, but the proof is incomplete and the experiments are not verifiable.
Annealed policy optimization for deep reinforcement learning,
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PPO-BR: Dual-Signal Entropy-Reward Adaptation for Trust Region Policy Optimization
PPO-BR adapts PPO's clipping threshold with entropy and reward signals, claiming faster convergence and lower variance, but the proof is incomplete and the experiments are not verifiable.