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 951–1000 of 15113 papers

TitleStatusHype
Towards Smarter Sensing: 2D Clutter Mitigation in RL-Driven Cognitive MIMO Radar—0
Adversarially-Robust TD Learning with Markovian Data: Finite-Time Rates and Fundamental Limits—0
DuoGuard: A Two-Player RL-Driven Framework for Multilingual LLM GuardrailsCode1
Enhancing Pre-Trained Decision Transformers with Prompt-Tuning Bandits—0
Convergent NMPC-based Reinforcement Learning Using Deep Expected Sarsa and Nonlinear Temporal Difference Learning—0
LLM Alignment as Retriever Optimization: An Information Retrieval Perspective—0
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning—0
Mirror Descent Actor Critic via Bounded Advantage Learning—0
Reinforcement Learning Based Prediction of PID Controller Gains for Quadrotor UAVs—0
Autotelic Reinforcement Learning: Exploring Intrinsic Motivations for Skill Acquisition in Open-Ended Environments—0
Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation—0
Transforming Multimodal Models into Action Models for Radiotherapy—0
Training Language Models to Reason EfficientlyCode2
Demystifying Long Chain-of-Thought Reasoning in LLMsCode3
CTR-Driven Advertising Image Generation with Multimodal Large Language ModelsCode2
OmniRL: In-Context Reinforcement Learning by Large-Scale Meta-Training in Randomized Worlds—0
Underwater Soft Fin Flapping Motion with Deep Neural Network Based Surrogate ModelCode0
AI-driven materials design: a mini-review—0
Optimizing Electric Vehicles Charging using Large Language Models and Graph Neural Networks—0
Calibrated Unsupervised Anomaly Detection in Multivariate Time-series using Reinforcement Learning—0
Reusing Embeddings: Reproducible Reward Model Research in Large Language Model Alignment without GPUsCode2
Brief analysis of DeepSeek R1 and it's implications for Generative AI—0
Adviser-Actor-Critic: Eliminating Steady-State Error in Reinforcement Learning Control—0
Flow Q-LearningCode3
Circular Microalgae-Based Carbon Control for Net ZeroCode0
Analytical Lyapunov Function Discovery: An RL-based Generative ApproachCode1
VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play—0
RAPID: Robust and Agile Planner Using Inverse Reinforcement Learning for Vision-Based Drone Navigation—0
The Differences Between Direct Alignment Algorithms are a Blur—0
Preference VLM: Leveraging VLMs for Scalable Preference-Based Reinforcement Learning—0
Process Reinforcement through Implicit RewardsCode5
Reinforcement Learning with Segment Feedback—0
Reinforcement Learning for Long-Horizon Interactive LLM Agents—0
Dynamic object goal pushing with mobile manipulators through model-free constrained reinforcement learning—0
ACECODER: Acing Coder RL via Automated Test-Case Synthesis—0
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning—0
GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic EnvironmentsCode1
Resilient UAV Trajectory Planning via Few-Shot Meta-Offline Reinforcement Learning—0
Zeroth-order Informed Fine-Tuning for Diffusion Model: A Recursive Likelihood Ratio Optimizer—0
Recursive generalized type-2 fuzzy radial basis function neural networks for joint position estimation and adaptive EMG-based impedance control of lower limb exoskeletonsCode0
Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network—0
Model-Free Predictive Control: Introductory Algebraic Calculations, and a Comparison with HEOL and ANNs—0
A Differentiated Reward Method for Reinforcement Learning based Multi-Vehicle Cooperative Decision-Making Algorithms—0
Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks—0
Decorrelated Soft Actor-Critic for Efficient Deep Reinforcement Learning—0
SHARPIE: A Modular Framework for Reinforcement Learning and Human-AI Interaction ExperimentsCode1
O-MAPL: Offline Multi-agent Preference Learning—0
Towards Physiologically Sensible Predictions via the Rule-based Reinforcement Learning Layer—0
RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception—0
Test-Time Training Scaling Laws for Chemical Exploration in Drug DesignCode3
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Benchmark Results

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