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 4051–4100 of 15113 papers

TitleStatusHype
Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation—0
PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning—0
Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning—0
Co-Speech Gesture Synthesis by Reinforcement Learning With Contrastive Pre-Trained RewardsCode0
Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning—0
Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits—0
Optimization of Image Transmission in a Cooperative Semantic Communication Networks—0
Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous NavigationCode1
Cost-Effective Two-Stage Network Slicing for Edge-Cloud Orchestrated Vehicular Networks—0
Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning—0
New Challenges in Reinforcement Learning: A Survey of Security and Privacy—0
Self-Activating Neural Ensembles for Continual Reinforcement LearningCode1
Risk-Sensitive Policy with Distributional Reinforcement LearningCode1
Transformer in Transformer as Backbone for Deep Reinforcement LearningCode1
Reinforcement Learning with Success Induced Task PrioritizationCode0
Pontryagin Optimal Control via Neural NetworksCode0
POMRL: No-Regret Learning-to-Plan with Increasing Horizons—0
Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression SearchCode1
RL and Fingerprinting to Select Moving Target Defense Mechanisms for Zero-day Attacks in IoTCode0
Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable Automated Driving—0
Backward Curriculum Reinforcement Learning—0
Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management—0
A Novel Experts Advice Aggregation Framework Using Deep Reinforcement Learning for Portfolio Management—0
On the Geometry of Reinforcement Learning in Continuous State and Action Spaces—0
On Transforming Reinforcement Learning by Transformer: The Development Trajectory—0
Offline Policy Optimization in RL with Variance Regularizaton—0
Towards automating Codenames spymasters with deep reinforcement learning—0
On the Convergence of Discounted Policy Gradient Methods—0
Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks—0
Improving a sequence-to-sequence nlp model using a reinforcement learning policy algorithm—0
Don't do it: Safer Reinforcement Learning With Rule-based Guidance—0
Lexicographic Multi-Objective Reinforcement LearningCode1
Towards Learning Abstractions via Reinforcement Learning—0
Representation Learning in Deep RL via Discrete Information Bottleneck—0
Offline Reinforcement Learning via Linear-Programming with Error-Bound Induced Constraints—0
On Pathologies in KL-Regularized Reinforcement Learning from Expert DemonstrationsCode1
Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation—0
Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach—0
Strangeness-driven Exploration in Multi-Agent Reinforcement LearningCode0
Data-driven control of COVID-19 in buildings: a reinforcement-learning approach—0
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral SimilaritiesCode0
Off-Policy Reinforcement Learning with Loss Function Weighted by Temporal Difference Error—0
Novel Reinforcement Learning Algorithm for Suppressing Synchronization in Closed Loop Deep Brain Stimulators—0
Streaming Traffic Flow Prediction Based on Continuous Reinforcement Learning—0
Understanding the Complexity Gains of Single-Task RL with a Curriculum—0
SHIRO: Soft Hierarchical Reinforcement Learning—0
Automated Gadget Discovery in ScienceCode0
Deep Reinforcement Learning for Heat Pump Control—0
Example-guided learning of stochastic human driving policies using deep reinforcement learningCode1
Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information—0
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Benchmark Results

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