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 4001–4050 of 15113 papers

TitleStatusHype
An Analysis of Quantile Temporal-Difference Learning—0
Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models—0
Switchable Lightweight Anti-symmetric Processing (SLAP) with CNN Outspeeds Data Augmentation by Smaller Sample -- Application in Gomoku Reinforcement Learning—0
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning—0
Adversarial Online Multi-Task Reinforcement LearningCode0
Hint assisted reinforcement learning: an application in radio astronomyCode0
Learning to Perceive in Deep Model-Free Reinforcement LearningCode0
Actor-Director-Critic: A Novel Deep Reinforcement Learning Framework—0
Why People Skip Music? On Predicting Music Skips using Deep Reinforcement LearningCode0
Towards AI-controlled FES-restoration of arm movements: Controlling for progressive muscular fatigue with Gaussian state-space models—0
Orbit: A Unified Simulation Framework for Interactive Robot Learning EnvironmentsCode5
schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling ExperimentsCode1
Mastering Diverse Domains through World ModelsCode4
Towards AI-controlled FES-restoration of arm movements: neuromechanics-based reinforcement learning for 3-D reaching—0
Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning—0
Tuning Path Tracking Controllers for Autonomous Cars Using Reinforcement Learning—0
Minimax Weight Learning for Absorbing MDPs—0
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative ExplorationCode1
Exploration in Model-based Reinforcement Learning with Randomized Reward—0
Learning Symbolic Representations for Reinforcement Learning of Non-Markovian Behavior—0
A Survey on Transformers in Reinforcement Learning—0
Hierarchical Reinforcement Learning for RIS-Assisted Energy-Efficient RAN—0
Mathematical Models and Reinforcement Learning based Evolutionary Algorithm Framework for Satellite Scheduling Problem—0
Markov Chain Concentration with an Application in Reinforcement Learning—0
Provable Reset-free Reinforcement Learning by No-Regret Reduction—0
A Deep Reinforcement Learning-Based Controller for Magnetorheological-Damped Vehicle Suspension—0
Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads—0
Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism—0
Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization—0
Reinforcement Learning-Based Air Traffic Deconfliction—0
Extreme Q-Learning: MaxEnt RL without EntropyCode1
Data-Driven Inverse Reinforcement Learning for Expert-Learner Zero-Sum Games—0
Learning-based MPC from Big Data Using Reinforcement Learning—0
Emergent collective intelligence from massive-agent cooperation and competitionCode1
Robofriend: An Adpative Storytelling Robotic Teddy Bear - Technical ReportCode0
UAV aided Metaverse over Wireless Communications: A Reinforcement Learning Approach—0
Towards Deployable RL - What's Broken with RL Research and a Potential Fix—0
Offline Evaluation for Reinforcement Learning-based Recommendation: A Critical Issue and Some Alternatives—0
Safe Reinforcement Learning for an Energy-Efficient Driver Assistance System—0
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning—0
Contextual Conservative Q-Learning for Offline Reinforcement Learning—0
A Succinct Summary of Reinforcement Learning—0
Deep Reinforcement Learning for Asset Allocation: Reward Clipping—0
Deep reinforcement learning for irrigation scheduling using high-dimensional sensor feedbackCode0
Safety Filtering for Reinforcement Learning-based Adaptive Cruise Control—0
On the Challenges of using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action EffectsCode0
Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach—0
A Policy Optimization Method Towards Optimal-time Stability—0
Learning to Maximize Mutual Information for Dynamic Feature SelectionCode1
Environment Agnostic Representation for Visual Reinforcement LearningCode1
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Benchmark Results

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