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Reinforcement Learning on Ant (e1, e2, Av. Reward)

7,010.88Average RewardPPO-PGDLC
-279.79041,612.97983,505.755,398.5202Apr 22, 2024Aug 28, 2024Jan 4, 2025May 13, 2025Sep 18, 2025Jan 25, 2026Jun 3, 2026

Evaluation results

MethodLinks
PPO-PGDLCrho (perturbation radius)=0, epsilon (uncertainty bound)=0.0012024.047,010.88——
PPO-PGDLCrho (perturbation radius)=1, epsilon (uncertainty bound)=0.0032024.046,885.73——
PPOrho (perturbation radius)=02024.046,339.91——
PPO-PGDLCrho (perturbation radius)=2, epsilon (uncertainty bound)=0.0032024.046,262.51——
PPO-GBRrho (perturbation radius)=0, epsilon (uncertainty bound)=0.0012024.045,553.56——
PPO-PGDLCrho (perturbation radius)=3, epsilon (uncertainty bound)=0.0032024.045,539.27——
PPO-PGDLCrho (perturbation radius)=4, epsilon (uncertainty bound)=0.0032024.044,794.98——
PPO-PGDLCrho (perturbation radius)=5, epsilon (uncertainty bound)=0.0032024.044,223.23——
Curriculum Adversarial TrainingPhase=22026.060.960.090.24
Scenario Generation for Risk-Aware Reinforcement LearningPhase=22026.060.940.090.18
CoDEPhase=22026.060.930.080.29
Genetic Curriculum LearningPhase=22026.060.90.140.45
Vanilla PPOPhase=22026.060.810.20.45
Epsilon Greedy PPOPhase=22026.060.770.220.48
Perturbed ExplorationPhase=22026.060.740.120.51
Scenario Generation for Risk-Aware Reinforcement LearningPhase=12026.060.620.110.41