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 4001–4025 of 15113 papers

TitleStatusHype
Learning Optimal Deterministic Policies with Stochastic Policy Gradients—0
Proximal Curriculum with Task Correlations for Deep Reinforcement LearningCode0
Tabular and Deep Reinforcement Learning for Gittins Index—0
FLAME: Factuality-Aware Alignment for Large Language Models—0
Constrained Reinforcement Learning Under Model Mismatch—0
Learning Force Control for Legged Manipulation—0
Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation—0
Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks—0
Robust Risk-Sensitive Reinforcement Learning with Conditional Value-at-Risk—0
Reinforcement Learning-Guided Semi-Supervised Learning—0
Queue-based Eco-Driving at Roundabouts with Reinforcement Learning—0
Navigating WebAI: Training Agents to Complete Web Tasks with Large Language Models and Reinforcement Learning—0
Learning to Communicate Functional States with Nonverbal Expressions for Improved Human-Robot CollaborationCode0
Countering Reward Over-optimization in LLM with Demonstration-Guided Reinforcement LearningCode0
Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning—0
Towards Generalist Robot Learning from Internet Video: A Survey—0
Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty—0
Reinforcement Learning Problem Solving with Large Language Models—0
Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs—0
Control Policy Correction Framework for Reinforcement Learning-based Energy Arbitrage Strategies—0
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly—0
EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural Networks—0
Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review—0
Enhancing Privacy and Security of Autonomous UAV Navigation—0
Offline Reinforcement Learning with Behavioral Supervisor Tuning—0
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Benchmark Results

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