SOTAVerified

General Reinforcement Learning

Papers

Showing 31–40 of 84 papers

TitleStatusHype
Dynamic Knowledge Injection for AIXI Agents—0
Dropout Strategy in Reinforcement Learning: Limiting the Surrogate Objective Variance in Policy Optimization Methods—0
Image Transformation Sequence Retrieval with General Reinforcement Learning—0
L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning—0
Computably Continuous Reinforcement-Learning Objectives are PAC-learnable—0
Policy Mirror Descent Inherently Explores Action Space—0
Learning to Backdoor Federated LearningCode0
Computational Dualism and Objective Superintelligence—0
Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning—0
AcceRL: Policy Acceleration Framework for Deep Reinforcement Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RNBScore7—Unverified
2PPOScore5—Unverified
#ModelMetricClaimedVerifiedStatus
1RNBScore4.8—Unverified
2PPOScore1—Unverified
#ModelMetricClaimedVerifiedStatus
1RNBScore0.6—Unverified
2PPOScore0.6—Unverified
#ModelMetricClaimedVerifiedStatus
1RNBScore0.8—Unverified
2PPOScore0.6—Unverified
#ModelMetricClaimedVerifiedStatus
1PPOScore1.2—Unverified
2RNBScore1—Unverified
#ModelMetricClaimedVerifiedStatus
1RNBScore3.4—Unverified
2PPOScore0.8—Unverified