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 8601–8650 of 15113 papers

TitleStatusHype
Better Chinese Sentence Segmentation with Reinforcement Learning—0
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations—0
How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation?Code0
A Proposal: Interactively Learning to Summarise Timelines by Reinforcement Learning—0
Meta-Reinforcement Learning for Mastering Multiple Skills and Generalizing across Environments in Text-based Games—0
Phrase-Level Action Reinforcement Learning for Neural Dialog Response GenerationCode0
UAV Trajectory Planning in Wireless Sensor Networks for Energy Consumption Minimization by Deep Reinforcement Learning—0
Low-Resource Machine Translation based on Asynchronous Dynamic Programming—0
Rule-Aware Reinforcement Learning for Knowledge Graph Reasoning—0
RLTutor: Reinforcement Learning Based Adaptive Tutoring System by Modeling Virtual Student with Fewer InteractionsCode0
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control—0
Sequence Adaptation via Reinforcement Learning in Recommender SystemsCode0
Learning to Control DC Motor for Micromobility in Real Time with Reinforcement Learning—0
Inverse Reinforcement Learning for Strategy Identification—0
An Intelligent Energy Management Framework for Hybrid-Electric Propulsion Systems Using Deep Reinforcement Learning—0
Adaptable image quality assessment using meta-reinforcement learning of task amenability—0
Maximum Entropy Dueling Network Architecture in Atari Domain—0
Neural Network Based Model Predictive Control for an Autonomous Vehicle—0
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training—0
Non-Markovian Reinforcement Learning using Fractional Dynamics—0
RSO: A Novel Reinforced Swarm Optimization Algorithm for Feature Selection—0
Lyapunov-based uncertainty-aware safe reinforcement learning—0
Incorporation of Deep Neural Network & Reinforcement Learning with Domain Knowledge—0
Controlling epidemics through optimal allocation of test kits and vaccine doses across networksCode0
A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming—0
Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation—0
Packet Routing with Graph Attention Multi-agent Reinforcement Learning—0
Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings—0
Autonomous Reinforcement Learning via Subgoal Curricula—0
Reinforcement Learning with Formal Performance Metrics for Quadcopter Attitude Control under Non-nominal Contexts—0
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning—0
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment—0
Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent—0
Playtesting: What is Beyond Personas—0
Reinforced Imitation Learning by Free Energy Principle—0
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning—0
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning—0
Learning Quadruped Locomotion Policies using Logical Rules—0
A reinforcement learning approach to resource allocation in genomic selection—0
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics—0
A Deep Reinforcement Learning Approach for Fair Traffic Signal Control—0
Reinforcement Learning Agent Training with Goals for Real World Tasks—0
Toward Collaborative Reinforcement Learning Agents that Communicate Through Text-Based Natural LanguageCode0
Proximal Policy Optimization for Tracking Control Exploiting Future Reference Information—0
Improved Reinforcement Learning in Cooperative Multi-agent Environments Using Knowledge Transfer—0
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards—0
Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration—0
Constraints Penalized Q-learning for Safe Offline Reinforcement Learning—0
An Analysis of Reinforcement Learning for Malaria Control—0
Reward-Weighted Regression Converges to a Global OptimumCode0
Show:102550
← PrevPage 173 of 303Next →

Benchmark Results

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