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 6501–6525 of 15113 papers

TitleStatusHype
Covy: An AI-powered Robot with a Compound Vision System for Detecting Breaches in Social Distancing—0
GriddlyJS: A Web IDE for Reinforcement Learning—0
A Reinforcement Learning-based Offensive semantics Censorship System for Chatbots—0
Hindsight Learning for MDPs with Exogenous InputsCode0
Brick Tic-Tac-Toe: Exploring the Generalizability of AlphaZero to Novel Test EnvironmentsCode0
Continual Meta-Reinforcement Learning for UAV-Aided Vehicular Wireless Networks—0
Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games—0
Reinforcement Learning Assisted Recursive QAOACode0
Policy Optimization with Sparse Global Contrastive Explanations—0
Scheduling Out-of-Coverage Vehicular Communications Using Reinforcement Learning—0
Online Game Level Generation from MusicCode0
Towards Global Optimality in Cooperative MARL with the Transformation And Distillation Framework—0
PAC Reinforcement Learning for Predictive State Representations—0
Optimistic PAC Reinforcement Learning: the Instance-Dependent View—0
Learning Bellman Complete Representations for Offline Policy EvaluationCode0
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning—0
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning—0
Grounding Aleatoric Uncertainty for Unsupervised Environment Design—0
Reinforcement Learningx2013Based Transient Response Shaping for Microgrids—0
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized Intersections—0
Deep Reinforcement Learning for Long-Term Voltage Stability Control—0
Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agents—0
High Performance Simulation for Scalable Multi-Agent Reinforcement Learning—0
Safe reinforcement learning for multi-energy management systems with known constraint functions—0
Reinforcement Learning for Distributed Transient Frequency Control with Stability and Safety Guarantees—0
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Benchmark Results

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