SOTAVerified

General Reinforcement Learning

Papers

Showing 1120 of 84 papers

TitleStatusHype
Dropout Strategy in Reinforcement Learning: Limiting the Surrogate Objective Variance in Policy Optimization Methods0
ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language ModelsCode2
Discovering General Reinforcement Learning Algorithms with Adversarial Environment DesignCode1
Image Transformation Sequence Retrieval with General Reinforcement Learning0
L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning0
Computably Continuous Reinforcement-Learning Objectives are PAC-learnable0
Policy Mirror Descent Inherently Explores Action Space0
Learning to Backdoor Federated LearningCode0
Computational Dualism and Objective Superintelligence0
Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RNBScore7Unverified
2PPOScore5Unverified
#ModelMetricClaimedVerifiedStatus
1RNBScore4.8Unverified
2PPOScore1Unverified
#ModelMetricClaimedVerifiedStatus
1PPOScore0.6Unverified
2RNBScore0.6Unverified
#ModelMetricClaimedVerifiedStatus
1RNBScore0.8Unverified
2PPOScore0.6Unverified
#ModelMetricClaimedVerifiedStatus
1PPOScore1.2Unverified
2RNBScore1Unverified
#ModelMetricClaimedVerifiedStatus
1RNBScore3.4Unverified
2PPOScore0.8Unverified