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 76517700 of 15113 papers

TitleStatusHype
RIS-assisted UAV Communications for IoT with Wireless Power Transfer Using Deep Reinforcement Learning0
The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement LearningCode1
Online Model-Free Reinforcement Learning for the Automatic Control of a Flexible Wing Aircraft0
Lyapunov Robust Constrained-MDPs: Soft-Constrained Robustly Stable Policy Optimization under Model Uncertainty0
On the Robustness of Controlled Deep Reinforcement Learning for Slice Placement0
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach0
Beyond No Regret: Instance-Dependent PAC Reinforcement Learning0
DRL-based Slice Placement Under Non-Stationary Conditions0
Ensemble Consensus-based Representation Deep Reinforcement Learning for Hybrid FSO/RF Communication Systems0
Active Reinforcement Learning over MDPs0
Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study0
Learning Task Agnostic Skills with Data-driven GuidanceCode0
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time ViolationsCode1
Offline Decentralized Multi-Agent Reinforcement Learning0
Parallelized Reverse Curriculum Generation0
Policy Gradients Incorporating the Future0
Optimal Management of the Peak Power Penalty for Smart Grids Using MPC-based Reinforcement Learning0
Deep Reinforcement Learning Based Networked Control with Network Delays for Signal Temporal Logic Specifications0
Controlled Deep Reinforcement Learning for Optimized Slice Placement0
Factor Representation and Decision Making in Stock Markets Using Deep Reinforcement Learning0
Accelerating the Learning of TAMER with Counterfactual Explanations0
Adversarial Attacks Against Deep Reinforcement Learning Framework in Internet of Vehicles0
A Proposal: Interactively Learning to Summarise Timelines by Reinforcement Learning0
Interactive Reinforcement Learning for Table Balancing Robot0
Better Chinese Sentence Segmentation with Reinforcement Learning0
Language-based General Action Template for Reinforcement Learning Agents0
Phrase-Level Action Reinforcement Learning for Neural Dialog Response GenerationCode0
Rule-Aware Reinforcement Learning for Knowledge Graph Reasoning0
Low-Resource Machine Translation based on Asynchronous Dynamic Programming0
Meta-Reinforcement Learning for Mastering Multiple Skills and Generalizing across Environments in Text-based Games0
How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation?Code0
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations0
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC0
Scalable Multi-agent Reinforcement Learning Algorithm for Wireless NetworksCode1
A Reinforcement Learning Approach for Scheduling in mmWave Networks0
UAV Trajectory Planning in Wireless Sensor Networks for Energy Consumption Minimization by Deep Reinforcement Learning0
Adaptable image quality assessment using meta-reinforcement learning of task amenability0
Sequence Adaptation via Reinforcement Learning in Recommender SystemsCode0
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control0
RLTutor: Reinforcement Learning Based Adaptive Tutoring System by Modeling Virtual Student with Fewer InteractionsCode0
Inverse Reinforcement Learning for Strategy Identification0
Learning to Control DC Motor for Micromobility in Real Time with Reinforcement Learning0
An Intelligent Energy Management Framework for Hybrid-Electric Propulsion Systems Using Deep Reinforcement Learning0
Neural Network Based Model Predictive Control for an Autonomous Vehicle0
Maximum Entropy Dueling Network Architecture in Atari Domain0
Strategically Efficient Exploration in Competitive Multi-agent Reinforcement LearningCode1
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training0
Incorporation of Deep Neural Network & Reinforcement Learning with Domain Knowledge0
Controlling epidemics through optimal allocation of test kits and vaccine doses across networksCode0
RSO: A Novel Reinforced Swarm Optimization Algorithm for Feature Selection0
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Benchmark Results

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