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 5176–5200 of 15113 papers

TitleStatusHype
Active Exploration for Inverse Reinforcement LearningCode1
Boolean Decision Rules for Reinforcement Learning Policy Summarisation—0
A Meta-Reinforcement Learning Algorithm for Causal DiscoveryCode1
Context sequence theory: a common explanation for multiple types of learning—0
DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking—0
Reinforcement Learning For Survival, A Clinically Motivated Method For Critically Ill Patients—0
Minimum Description Length Control—0
Robust Action Governor for Uncertain Piecewise Affine Systems with Non-convex Constraints and Safe Reinforcement Learning—0
Associative Memory Based Experience Replay for Deep Reinforcement Learning—0
BCRLSP: An Offline Reinforcement Learning Framework for Sequential Targeted Promotion—0
Bootstrap State Representation using Style Transfer for Better Generalization in Deep Reinforcement LearningCode0
Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space—0
Optimizing Data Collection in Deep Reinforcement Learning—0
The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning—0
Skill-based Model-based Reinforcement Learning—0
Deep Hedging: Continuous Reinforcement Learning for Hedging of General Portfolios across Multiple Risk Aversions—0
Asset Allocation: From Markowitz to Deep Reinforcement LearningCode1
Covy: An AI-powered Robot with a Compound Vision System for Detecting Breaches in Social Distancing—0
Multi-Agent Deep Reinforcement Learning-Driven Mitigation of Adverse Effects of Cyber-Attacks on Electric Vehicle Charging Station—0
A Reinforcement Learning-based Offensive semantics Censorship System for Chatbots—0
A General Contextualized Rewriting Framework for Text SummarizationCode1
Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games—0
Scheduling Out-of-Coverage Vehicular Communications Using Reinforcement Learning—0
Policy Optimization with Sparse Global Contrastive Explanations—0
Reinforcement Learning Assisted Recursive QAOACode0
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Benchmark Results

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