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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6351–6400 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
Online 3D Bin Packing Reinforcement Learning Solution with Buffer—0
Deep Reinforcement Learning for RIS-Assisted FD Systems: Single or Distributed RIS?—0
Widely Used and Fast De Novo Drug Design by a Protein Sequence-Based Reinforcement Learning Model—0
Trustworthy Federated Learning via Blockchain—0
RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents—0
Low Emission Building Control with Zero-Shot Reinforcement Learning—0
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity—0
Multi-Agent Reinforcement Learning with Graph Convolutional Neural Networks for optimal Bidding Strategies of Generation Units in Electricity Markets—0
Mixed-Precision Neural Networks: A Survey—0
Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning based Recommendation—0
Intrinsically Motivated Learning of Causal World Models—0
Exploring the trade off between human driving imitation and safety for traffic simulation—0
Attribute Controllable Beautiful Caucasian Face Generation by Aesthetics Driven Reinforcement Learning—0
Generalized Reinforcement Learning: Experience Particles, Action Operator, Reinforcement Field, Memory Association, and Decision Concepts—0
Vehicle Type Specific Waypoint Generation—0
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2—0
On the Importance of Critical Period in Multi-stage Reinforcement Learning—0
Multi-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender Systems—0
Optimal scheduling of entropy regulariser for continuous-time linear-quadratic reinforcement learning—0
Continual Reinforcement Learning with TELLA—0
Learning-Based Client Selection for Federated Learning Services Over Wireless Networks with Constrained Monetary Budgets—0
A Game-Theoretic Perspective of Generalization in Reinforcement Learning—0
Socially Intelligent Genetic Agents for the Emergence of Explicit NormsCode0
Multi-agent reinforcement learning for intent-based service assurance in cellular networks—0
Compositional Reinforcement Learning for Discrete-Time Stochastic Control Systems—0
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Benchmark Results

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