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 1001–1050 of 15113 papers

TitleStatusHype
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement Learning—0
Neural Operator based Reinforcement Learning for Control of first-order PDEs with Spatially-Varying State DelayCode0
Model-Free RL Agents Demonstrate System 1-Like Intentionality—0
RL-based Query Rewriting with Distilled LLM for online E-Commerce Systems—0
Reinforcement-Learning Portfolio Allocation with Dynamic Embedding of Market Information—0
Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic LearningCode1
From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning—0
A Dual-Agent Adversarial Framework for Robust Generalization in Deep Reinforcement Learning—0
Integrating Reinforcement Learning and AI Agents for Adaptive Robotic Interaction and Assistance in Dementia Care—0
RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled PlatformsCode0
Exploratory Mean-Variance Portfolio Optimization with Regime-Switching Market Dynamics—0
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training—0
Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning—0
Improving Vision-Language-Action Model with Online Reinforcement Learning—0
Challenges in Ensuring AI Safety in DeepSeek-R1 Models: The Shortcomings of Reinforcement Learning Strategies—0
xJailbreak: Representation Space Guided Reinforcement Learning for Interpretable LLM JailbreakingCode1
Safe Reinforcement Learning for Real-World Engine Control—0
MPC4RL -- A Software Package for Reinforcement Learning based on Model Predictive Control—0
Flexible Blood Glucose Control: Offline Reinforcement Learning from Human Feedback—0
FuzzyLight: A Robust Two-Stage Fuzzy Approach for Traffic Signal Control Works in Real Cities—0
Benchmarking Quantum Reinforcement LearningCode0
Towards General-Purpose Model-Free Reinforcement Learning—0
Selective Experience Sharing in Reinforcement Learning Enhances Interference Management—0
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement LearningCode0
Learning-Enhanced Safeguard Control for High-Relative-Degree Systems: Robust Optimization under Disturbances and Faults—0
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement LearningCode2
EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement LearningCode7
Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction—0
Data Center Cooling System Optimization Using Offline Reinforcement Learning—0
Towards Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control—0
Age and Power Minimization via Meta-Deep Reinforcement Learning in UAV Networks—0
Coordinating Ride-Pooling with Public Transit using Reward-Guided Conservative Q-Learning: An Offline Training and Online Fine-Tuning Reinforcement Learning Framework—0
An Attentive Graph Agent for Topology-Adaptive Cyber DefenceCode1
Large Language Model driven Policy Exploration for Recommender Systems—0
To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement LearningCode0
Kimi k1.5: Scaling Reinforcement Learning with LLMsCode7
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models—0
MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking—0
Deep Reinforcement Learning with Hybrid Intrinsic Reward Model—0
Adaptive Data Exploitation in Deep Reinforcement LearningCode0
Exploring the Technology Landscape through Topic Modeling, Expert Involvement, and Reinforcement Learning—0
On Generalization and Distributional Update for Mimicking Observations with Adequate Exploration—0
Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization—0
Evolution and The Knightian Blindspot of Machine Learning—0
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement LearningCode15
AdaWM: Adaptive World Model based Planning for Autonomous Driving—0
Reinforcement Learning Constrained Beam Search for Parameter Optimization of Paper Drying Under Flexible Constraints—0
RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression—0
Extend Adversarial Policy Against Neural Machine Translation via Unknown Token—0
Improving thermal state preparation of Sachdev-Ye-Kitaev model with reinforcement learning on quantum hardwareCode0
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Benchmark Results

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