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 10551–10600 of 15113 papers

TitleStatusHype
Faded-Experience Trust Region Policy Optimization for Model-Free Power Allocation in Interference Channel—0
EasyRL: A Simple and Extensible Reinforcement Learning Framework—0
Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System—0
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles—0
A Relearning Approach to Reinforcement Learning for Control of Smart Buildings—0
Learning Transition Models with Time-delayed Causal Relations—0
Learning to Play Two-Player Perfect-Information Games without Knowledge—0
Learning Agile Locomotion via Adversarial Training—0
Cooperative Control of Mobile Robots with Stackelberg Learning—0
Fully Decentralized Reinforcement Learning-based Control of Photovoltaics in Distribution Grids for Joint Provision of Real and Reactive Power—0
Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning—0
Tracking the Race Between Deep Reinforcement Learning and Imitation Learning -- Extended Version—0
Proximal Deterministic Policy Gradient—0
Curriculum Learning with a Progression Function—0
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs—0
Deep Reinforcement Learning Based Mobile Edge Computing for Intelligent Internet of Things—0
Ergodic Annealing—0
Neural Batch Sampling with Reinforcement Learning for Semi-Supervised Anomaly Detection—0
Spatial Geometric Reasoning for Room Layout Estimation via Deep Reinforcement Learning—0
Queueing Network Controls via Deep Reinforcement LearningCode0
Deep Reinforcement Learning using Cyclical Learning Rates—0
IntelligentPooling: Practical Thompson Sampling for mHealth—0
Chance Constrained Policy Optimization for Process Control and Optimization—0
Moody Learners -- Explaining Competitive Behaviour of Reinforcement Learning Agents—0
MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments—0
Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning—0
Compare and Select: Video Summarization with Multi-Agent Reinforcement Learning—0
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction—0
Cooperative Internet of UAVs: Distributed Trajectory Design by Multi-agent Deep Reinforcement Learning—0
Hierarchical Control of Multi-Agent Systems using Online Reinforcement Learning—0
Deep Reinforcement Learning for Dynamic Spectrum Sensing and Aggregation in Multi-Channel Wireless Networks—0
Intelligent Trajectory Planning in UAV-mounted Wireless Networks: A Quantum-Inspired Reinforcement Learning Perspective—0
Greedy Bandits with Sampled Context—0
Fast active learning for pure exploration in reinforcement learning—0
FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers & Goods Transportation—0
Adaptive Height Optimisation for Cellular-Connected UAVs using Reinforcement Learning—0
Point Cloud Based Reinforcement Learning for Sim-to-Real and Partial Observability in Visual Navigation—0
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders—0
Noisy Agents: Self-supervised Exploration by Predicting Auditory Events—0
Data-efficient visuomotor policy training using reinforcement learning and generative models—0
Automated Discovery of Local Rules for Desired Collective-Level Behavior Through Reinforcement LearningCode0
Weak Human Preference Supervision For Deep Reinforcement LearningCode0
Automated Database Indexing using Model-free Reinforcement Learning—0
Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient—0
Bayesian Robust Optimization for Imitation LearningCode0
Integrated Longitudinal Speed Decision-Making and Energy Efficiency Control for Connected Electrified Vehicles—0
A Comparative Study of AI-based Intrusion Detection Techniques in Critical Infrastructures—0
Safe Model-Based Reinforcement Learning for Systems with Parametric Uncertainties—0
Adaptive Energy Management for Real Driving Conditions via Transfer Reinforcement Learning—0
Deep Inverse Reinforcement Learning for Structural Evolution of Small MoleculesCode0
Show:102550
← PrevPage 212 of 303Next →

Benchmark Results

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