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 2851–2900 of 15113 papers

TitleStatusHype
AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy—0
Augmenting Automated Game Testing with Deep Reinforcement Learning—0
Augmented Replay Memory in Reinforcement Learning With Continuous Control—0
Decentralized Circle Formation Control for Fish-like Robots in the Real-world via Reinforcement Learning—0
Decentralized Cooperative Lane Changing at Freeway Weaving Areas Using Multi-Agent Deep Reinforcement Learning—0
Decentralized Deep Reinforcement Learning for Network Level Traffic Signal Control—0
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks—0
Augmented Random Search for Quadcopter Control: An alternative to Reinforcement Learning—0
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML—0
AITuning: Machine Learning-based Tuning Tool for Run-Time Communication Libraries—0
AISYN: AI-driven Reinforcement Learning-Based Logic Synthesis Framework—0
AUGMENTED POLICY GRADIENT METHODS FOR EFFICIENT REINFORCEMENT LEARNING—0
Adaptive Control of Differentially Private Linear Quadratic Systems—0
AAPO: Enhance the Reasoning Capabilities of LLMs with Advantage Momentum—0
Heterogeneous Knowledge for Augmented Modular Reinforcement Learning—0
Augmented Memory Networks for Streaming-Based Active One-Shot Learning—0
Adaptive Control of an Inverted Pendulum by a Reinforcement Learning-based LQR Method—0
Augmented Memory Networks for Streaming-Based Active One-Shot Learning—0
Augmented Lagrangian-Based Safe Reinforcement Learning Approach for Distribution System Volt/VAR Control—0
AirRL: A Reinforcement Learning Approach to Urban Air Quality Inference—0
ACERAC: Efficient reinforcement learning in fine time discretization—0
De-Biased Modelling of Search Click Behavior with Reinforcement Learning—0
Augmented Intelligence in Smart Intersections: Local Digital Twins-Assisted Hybrid Autonomous Driving—0
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning—0
AI Recommendation Systems for Lane-Changing Using Adherence-Aware Reinforcement Learning—0
A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems—0
AirCapRL: Autonomous Aerial Human Motion Capture using Deep Reinforcement Learning—0
Adaptive control of a mechatronic system using constrained residual reinforcement learning—0
A Tutorial Introduction to Reinforcement Learning—0
ATTRITION: Attacking Static Hardware Trojan Detection Techniques Using Reinforcement Learning—0
Attribute Controllable Beautiful Caucasian Face Generation by Aesthetics Driven Reinforcement Learning—0
Attractor Selection in Nonlinear Energy Harvesting Using Deep Reinforcement Learning—0
AI Planning: A Primer and Survey (Preliminary Report)—0
A centralized reinforcement learning method for multi-agent job scheduling in Grid—0
Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning—0
ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing—0
Attitude Control of Highly Maneuverable Aircraft Using an Improved Q-learning—0
AIGenC: An AI generalisation model via creativity—0
Teaching on a Budget in Multi-Agent Deep Reinforcement Learning—0
DearFSAC: An Approach to Optimizing Unreliable Federated Learning via Deep Reinforcement Learning—0
Attention Routing: track-assignment detailed routing using attention-based reinforcement learning—0
Attention-Privileged Reinforcement Learning—0
AIGB: Generative Auto-bidding via Conditional Diffusion Modeling—0
Attention Privileged Reinforcement Learning for Domain Transfer—0
Attention or memory? Neurointerpretable agents in space and time—0
AI-Driven Resource Allocation in Optical Wireless Communication Systems—0
Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization—0
Death and Suicide in Universal Artificial Intelligence—0
Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning—0
Attention-driven Robotic Manipulation—0
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Benchmark Results

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