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

Showing 37513800 of 15113 papers

TitleStatusHype
Multiagent Inverse Reinforcement Learning via Theory of Mind ReasoningCode0
Reinforcement Learning with Function Approximation: From Linear to Nonlinear0
Safe Deep Reinforcement Learning by Verifying Task-Level Properties0
Backstepping Temporal Difference Learning0
Differentiable Arbitrating in Zero-sum Markov Games0
Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical RobotCode2
Auto.gov: Learning-based Governance for Decentralized Finance (DeFi)Code0
Compositionality and Bounds for Optimal Value Functions in Reinforcement Learning0
Interactive Video Corpus Moment Retrieval using Reinforcement Learning0
AutoDOViz: Human-Centered Automation for Decision Optimization0
Robust and Versatile Bipedal Jumping Control through Reinforcement Learning0
Generalization in Visual Reinforcement Learning with the Reward Sequence DistributionCode0
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer0
Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation0
HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare0
Effective Multimodal Reinforcement Learning with Modality Alignment and Importance Enhancement0
Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization0
Promoting Cooperation in Multi-Agent Reinforcement Learning via Mutual Help0
Mixed Traffic Control and Coordination from Pixels0
Robot path planning using deep reinforcement learning0
Deep Reinforcement Learning for mmWave Initial Beam Alignment0
Post Reinforcement Learning InferenceCode0
Data Driven Reward Initialization for Preference based Reinforcement Learning0
Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories0
A State Augmentation based approach to Reinforcement Learning from Human Preferences0
Exploiting Unlabeled Data for Feedback Efficient Human Preference based Reinforcement Learning0
Swapped goal-conditioned offline reinforcement learningCode1
Dual RL: Unification and New Methods for Reinforcement and Imitation LearningCode1
Quantum Computing Provides Exponential Regret Improvement in Episodic Reinforcement Learning0
Tuning computer vision models with task rewards0
Reinforcement Learning Based Power Grid Day-Ahead Planning and AI-Assisted Control0
Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications0
Optimal Sample Complexity of Reinforcement Learning for Mixing Discounted Markov Decision Processes0
Scalable Multi-Agent Reinforcement Learning with General Utilities0
Prioritized offline Goal-swapping Experience Replay0
CERiL: Continuous Event-based Reinforcement Learning0
Meta-Reinforcement Learning via Exploratory Task Clustering0
Learning a model is paramount for sample efficiency in reinforcement learning control of PDEsCode0
Deep Reinforcement Learning for Multi-user Massive MIMO with Channel Aging0
Quantum algorithms applied to satellite mission planning for Earth observation0
To Risk or Not to Risk: Learning with Risk Quantification for IoT Task Offloading in UAVs0
Constrained Decision Transformer for Offline Safe Reinforcement LearningCode2
Regret-Based Defense in Adversarial Reinforcement LearningCode0
Semiconductor Fab Scheduling with Self-Supervised and Reinforcement LearningCode1
On Modeling Long-Term User Engagement from Stochastic Feedback0
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement LearningCode1
A Lifetime Extended Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles via Self-Learning Fuzzy Reinforcement Learning0
Guiding Pretraining in Reinforcement Learning with Large Language ModelsCode1
Universal Agent Mixtures and the Geometry of Intelligence0
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with DistractionsCode0
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Benchmark Results

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