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 2601–2650 of 15113 papers

TitleStatusHype
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning—0
Autonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning—0
Autonomous Navigation of an Ultrasound Probe Towards Standard Scan Planes with Deep Reinforcement Learning—0
A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks—0
A Machine Learning Approach for Prosumer Management in Intraday Electricity Markets—0
Autonomous Maintenance in IoT Networks via AoI-driven Deep Reinforcement Learning—0
Adaptive Multi-pass Decoder for Neural Machine Translation—0
A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers—0
Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents—0
Autonomous Industrial Management via Reinforcement Learning: Self-Learning Agents for Decision-Making -- A Review—0
A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants—0
Autonomous Highway Driving using Deep Reinforcement Learning—0
Autonomous Extraction of a Hierarchical Structure of Tasks in Reinforcement Learning, A Sequential Associate Rule Mining Approach—0
A Lyapunov Drift-Plus-Penalty Method Tailored for Reinforcement Learning with Queue Stability—0
Adaptive Multi-model Fusion Learning for Sparse-Reward Reinforcement Learning—0
Corruption-Robust Offline Reinforcement Learning—0
Autonomous Extracting a Hierarchical Structure of Tasks in Reinforcement Learning and Multi-task Reinforcement Learning—0
Adaptive Multi-Fidelity Reinforcement Learning for Variance Reduction in Engineering Design Optimization—0
Autonomous Drone Swarm Navigation and Multi-target Tracking in 3D Environments with Dynamic Obstacles—0
Autonomous Drone Racing with Deep Reinforcement Learning—0
AltGraph: Redesigning Quantum Circuits Using Generative Graph Models for Efficient Optimization—0
Adaptive Modulation and Coding based on Reinforcement Learning for 5G Networks—0
Autonomous Driving with Deep Reinforcement Learning in CARLA Simulation—0
Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model—0
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of f-Regression Counterfactual Regret Minimization—0
Autonomous Driving in Reality with Reinforcement Learning and Image Translation—0
Autonomous Control of a Particle Accelerator using Deep Reinforcement Learning—0
Alternating Good-for-MDP Automata—0
A Bayesian Framework of Deep Reinforcement Learning for Joint O-RAN/MEC Orchestration—0
Cost-Sensitive Exploration in Bayesian Reinforcement Learning—0
AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks—0
Autonomous Braking and Throttle System: A Deep Reinforcement Learning Approach for Naturalistic Driving—0
Adaptive model selection in photonic reservoir computing by reinforcement learning—0
Autonomous Attack Mitigation for Industrial Control Systems—0
Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning—0
AlphaStar: An Evolutionary Computation Perspective—0
A Bayesian Approach to Robust Reinforcement Learning—0
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention—0
Autonomous Air Traffic Controller: A Deep Multi-Agent Reinforcement Learning Approach—0
AlphaSnake: Policy Iteration on a Nondeterministic NP-hard Markov Decision Process—0
Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning—0
Automating Vehicles by Deep Reinforcement Learning using Task Separation with Hill Climbing—0
AlphaSeq: Sequence Discovery with Deep Reinforcement Learning—0
A Coarse to Fine Question Answering System based on Reinforcement Learning—0
Correlation Priors for Reinforcement Learning—0
Automating Turbulence Modeling by Multi-Agent Reinforcement Learning—0
Automating the resolution of flight conflicts: Deep reinforcement learning in service of air traffic controllers—0
AlphaRouter: Quantum Circuit Routing with Reinforcement Learning and Tree Search—0
Automating Staged Rollout with Reinforcement Learning—0
Adaptive Load Shedding for Grid Emergency Control via Deep Reinforcement Learning—0
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Benchmark Results

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