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 2326–2350 of 15113 papers

TitleStatusHype
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning—0
Analysing Congestion Problems in Multi-agent Reinforcement Learning—0
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks—0
An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient—0
Bayesian Nonparametric Reinforcement Learning in LTE and Wi-Fi Coexistence—0
Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agents—0
Bayesian Linear Regression on Deep Representations—0
Adaptive Structural Hyper-Parameter Configuration by Q-Learning—0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
Bayesian Inference of Self-intention Attributed by Observer—0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
Consensus-based Sequence Training for Video Captioning—0
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning—0
Bayesian Hierarchical Reinforcement Learning—0
Analog Circuit Design with Dyna-Style Reinforcement Learning—0
Bayesian Exploration Networks—0
Bayesian Exploration for Lifelong Reinforcement Learning—0
An Algorithmic Theory of Metacognition in Minds and Machines—0
Adaptive Stress Testing without Domain Heuristics using Go-Explore—0
Bayesian Distributional Policy Gradients—0
I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons—0
Monte Carlo Bayesian Reinforcement Learning—0
Adaptive Stress Testing for Autonomous Vehicles—0
Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control—0
A Comparison of Reinforcement Learning Techniques for Fuzzy Cloud Auto-Scaling—0
Show:102550
← PrevPage 94 of 605Next →

Benchmark Results

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