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

Showing 12011250 of 15113 papers

TitleStatusHype
Resource Management and Security Scheme of ICPSs and IoT Based on VNE AlgorithmCode1
Optimizing Sequential Experimental Design with Deep Reinforcement LearningCode1
CIC: Contrastive Intrinsic Control for Unsupervised Skill DiscoveryCode1
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary StrategiesCode1
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement LearningCode1
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning ApproachCode1
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic EnvironmentsCode1
Generalized Global Ranking-Aware Neural Architecture Ranker for Efficient Image Classifier SearchCode1
Constrained Variational Policy Optimization for Safe Reinforcement LearningCode1
Can Wikipedia Help Offline Reinforcement Learning?Code1
Mask-based Latent Reconstruction for Reinforcement LearningCode1
Towards Safe Reinforcement Learning with a Safety Editor PolicyCode1
The Paradox of Choice: Using Attention in Hierarchical Reinforcement LearningCode1
Constrained Policy Optimization via Bayesian World ModelsCode1
Pearl: Parallel Evolutionary and Reinforcement Learning LibraryCode1
Goal-Conditioned Reinforcement Learning: Problems and SolutionsCode1
DROPO: Sim-to-Real Transfer with Offline Domain RandomizationCode1
Addressing Maximization Bias in Reinforcement Learning with Two-Sample TestingCode1
SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph ReasoningCode1
Solving Dynamic Graph Problems with Multi-Attention Deep Reinforcement LearningCode1
Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement LearningCode1
In Defense of the Unitary Scalarization for Deep Multi-Task LearningCode1
Verified Probabilistic Policies for Deep Reinforcement LearningCode1
Mirror Learning: A Unifying Framework of Policy OptimisationCode1
SABLAS: Learning Safe Control for Black-box Dynamical SystemsCode1
Sample Efficient Deep Reinforcement Learning via Uncertainty EstimationCode1
Using Simulation Optimization to Improve Zero-shot Policy Transfer of QuadrotorsCode1
Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanismCode1
SimSR: Simple Distance-based State Representation for Deep Reinforcement LearningCode1
Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control OptimizationCode1
Reinforcement Learning with Dynamic Convex Risk MeasuresCode1
Lane Change Decision-Making through Deep Reinforcement LearningCode1
Learning to Walk with Dual Agents for Knowledge Graph ReasoningCode1
Safety and Liveness Guarantees through Reach-Avoid Reinforcement LearningCode1
Direct Behavior Specification via Constrained Reinforcement LearningCode1
Maximum Entropy Population-Based Training for Zero-Shot Human-AI CoordinationCode1
Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving PoliciesCode1
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with DroneCode1
Variational Quantum Soft Actor-CriticCode1
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal controlCode1
Space Non-cooperative Object Active Tracking with Deep Reinforcement LearningCode1
Autonomous Reinforcement Learning: Formalism and BenchmarkingCode1
Learning to Share in Multi-Agent Reinforcement LearningCode1
Stochastic Actor-Executor-Critic for Image-to-Image TranslationCode1
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image RegistrationCode1
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement LearningCode1
Human-Level Control through Directly-Trained Deep Spiking Q-NetworksCode1
PantheonRL: A MARL Library for Dynamic Training InteractionsCode1
Tree-based Focused Web Crawling with Reinforcement LearningCode1
OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical LocomotionCode1
Show:102550
← PrevPage 25 of 303Next →

Benchmark Results

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