SOTAVerified

Reinforcement Learning (RL)

Reinforcement Learning (RL) involves training an agent to take actions in an environment to maximize a cumulative reward signal. The agent interacts with the environment and learns by receiving feedback in the form of rewards or punishments for its actions. The goal of reinforcement learning is to find the optimal policy or decision-making strategy that maximizes the long-term reward.

Papers

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Showing 6351–6375 of 15113 papers

TitleStatusHype
Some Supervision Required: Incorporating Oracle Policies in Reinforcement Learning via Epistemic Uncertainty Metrics—0
Incorporating Rivalry in Reinforcement Learning for a Competitive GameCode0
BARReL: Bottleneck Attention for Adversarial Robustness in Vision-Based Reinforcement Learning—0
Improving Sample Efficiency in Evolutionary RL Using Off-Policy Ranking—0
Weighted Maximum Entropy Inverse Reinforcement Learning—0
Spectral Decomposition Representation for Reinforcement Learning—0
Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games—0
Improving Post-Processing of Audio Event Detectors Using Reinforcement LearningCode0
Entropy Augmented Reinforcement Learning—0
Hybrid Learning with New Value Function for the Maximum Common Subgraph Problem—0
Explainable Reinforcement Learning on Financial Stock Trading using SHAP—0
A Review of Uncertainty for Deep Reinforcement Learning—0
Intelligent problem-solving as integrated hierarchical reinforcement learning—0
MARTI-4: new model of human brain, considering neocortex and basal ganglia -- learns to play Atari game by reinforcement learning on a single CPU—0
Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approach—0
Sampling Through the Lens of Sequential Decision Making—0
Path Planning of Cleaning Robot with Reinforcement Learning—0
Autonomous Resource Management in Construction Companies Using Deep Reinforcement Learning Based on IoT—0
Choquet regularization for reinforcement learning—0
Hybrid UAV-enabled Secure Offloading via Deep Reinforcement Learning—0
Data-driven End-to-end Learning of Pole Placement Control for Nonlinear Dynamics via Koopman Invariant Subspaces—0
A Deep Reinforcement Learning-based Adaptive Charging Policy for Wireless Rechargeable Sensor Networks—0
Reinforcement Learning to Rank with Coarse-grained Labels—0
Making Reinforcement Learning Work on Swimmer—0
Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-CareCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PPGMean Normalized Performance0.76—Unverified
2PPOMean Normalized Performance0.58—Unverified