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 2801–2850 of 15113 papers

TitleStatusHype
Teaching LLMs for Step-Level Automatic Math Correction via Reinforcement Learning—0
Evolutionary Policy Optimization—0
Continual Reinforcement Learning for HVAC Systems Control: Integrating Hypernetworks and Transfer LearningCode0
RLCAD: Reinforcement Learning Training Gym for Revolution Involved CAD Command Sequence Generation—0
AED: Automatic Discovery of Effective and Diverse Vulnerabilities for Autonomous Driving Policy with Large Language Models—0
Parental Guidance: Efficient Lifelong Learning through Evolutionary Distillation—0
Option Discovery Using LLM-guided Semantic Hierarchical Reinforcement Learning—0
Adaptive Multi-Fidelity Reinforcement Learning for Variance Reduction in Engineering Design Optimization—0
Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization—0
ViVa: Video-Trained Value Functions for Guiding Online RL from Diverse Data—0
Optimizing Navigation And Chemical Application in Precision Agriculture With Deep Reinforcement Learning And Conditional Action Tree—0
A Roadmap Towards Improving Multi-Agent Reinforcement Learning With Causal Discovery And Inference—0
ComfyGPT: A Self-Optimizing Multi-Agent System for Comprehensive ComfyUI Workflow Generation—0
Transferable Latent-to-Latent Locomotion Policy for Efficient and Versatile Motion Control of Diverse Legged Robots—0
Autonomous Radiotherapy Treatment Planning Using DOLA: A Privacy-Preserving, LLM-Based Optimization Agent—0
Curriculum RL meets Monte Carlo Planning: Optimization of a Real World Container Management ProblemCode0
Causally Aligned Curriculum Learning—0
UAS Visual Navigation in Large and Unseen Environments via a Meta Agent—0
OThink-MR1: Stimulating multimodal generalized reasoning capabilities via dynamic reinforcement learning—0
Towards Automated Semantic Interpretability in Reinforcement Learning via Vision-Language Models—0
Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic ProgrammingCode0
Grammar and Gameplay-aligned RL for Game Description Generation with LLMs—0
RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models—0
Behaviour Discovery and Attribution for Explainable Reinforcement Learning—0
Reinforcement Learning Environment with LLM-Controlled Adversary in D&D 5th Edition Combat—0
Empowering Medical Multi-Agents with Clinical Consultation Flow for Dynamic Diagnosis—0
Comprehensive Review of Reinforcement Learning for Medical Ultrasound Imaging—0
Neural Lyapunov Function Approximation with Self-Supervised Reinforcement LearningCode0
LogLLaMA: Transformer-based log anomaly detection with LLaMA—0
Reward Training Wheels: Adaptive Auxiliary Rewards for Robotics Reinforcement Learning—0
Good Actions Succeed, Bad Actions Generalize: A Case Study on Why RL Generalizes Better—0
1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities—0
DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning—0
Pauli Network Circuit Synthesis with Reinforcement Learning—0
CTSAC: Curriculum-Based Transformer Soft Actor-Critic for Goal-Oriented Robot Exploration—0
Revealing higher-order neural representations of uncertainty with the Noise Estimation through Reinforcement-based Diffusion (NERD) model—0
A Reinforcement Learning-Driven Transformer GAN for Molecular Generation—0
FLEX: A Framework for Learning Robot-Agnostic Force-based Skills Involving Sustained Contact Object Manipulation—0
APF+: Boosting adaptive-potential function reinforcement learning methods with a W-shaped network for high-dimensional games—0
Synchronous vs Asynchronous Reinforcement Learning in a Real World Robot—0
Dynamic Angle Selection in X-Ray CT: A Reinforcement Learning Approach to Optimal Stopping—0
Evaluation-Time Policy Switching for Offline Reinforcement Learning—0
Adaptive Torque Control of Exoskeletons under Spasticity Conditions via Reinforcement Learning—0
Exploring Competitive and Collusive Behaviors in Algorithmic Pricing with Deep Reinforcement Learning—0
Learning to reset in target search problemsCode0
Dynamic Obstacle Avoidance with Bounded Rationality Adversarial Reinforcement Learning—0
Reinforcement Learning-Based Controlled Switching Approach for Inrush Current Minimization in Power Transformers—0
Sketch-to-Skill: Bootstrapping Robot Learning with Human Drawn Trajectory Sketches—0
DeepSeek-Inspired Exploration of RL-based LLMs and Synergy with Wireless Networks: A Survey—0
Representation-based Reward Modeling for Efficient Safety Alignment of Large Language Model—0
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Benchmark Results

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