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 42014250 of 15113 papers

TitleStatusHype
Misspecification in Inverse Reinforcement Learning0
PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User EngagementCode1
State Space Closure: Revisiting Endless Online Level Generation via Reinforcement LearningCode0
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?Code0
Active Classification of Moving Targets with Learned Control Policies0
Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning0
A Learned Simulation Environment to Model Plant Growth in Indoor Farming0
A Novel Deep Reinforcement Learning Based Automated Stock Trading System Using Cascaded LSTM Networks0
A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat0
Learning Physically Realizable Skills for Online Packing of General 3D ShapesCode2
Bi-Level Optimization Augmented with Conditional Variational Autoencoder for Autonomous Driving in Dense Traffic0
Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks0
Robust Reinforcement Learning for Risk-Sensitive Linear Quadratic Gaussian Control0
L2SR: Learning to Sample and Reconstruct for Accelerated MRI via Reinforcement LearningCode0
Benchmarking Offline Reinforcement Learning Algorithms for E-Commerce Order Fraud Evaluation0
Physics-Informed Model-Based Reinforcement LearningCode1
PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks0
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed DatasetsCode0
A Machine with Short-Term, Episodic, and Semantic Memory SystemsCode0
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance0
Accelerating Interactive Human-like Manipulation Learning with GPU-based Simulation and High-quality Demonstrations0
Automata Learning meets ShieldingCode0
Online Shielding for Reinforcement Learning0
Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-based Guidance0
RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement LearningCode1
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward0
DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning0
Constrained Reinforcement Learning via Dissipative Saddle Flow Dynamics0
MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid DynamicsCode1
STL-Based Synthesis of Feedback Controllers Using Reinforcement LearningCode0
On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning0
Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning0
Selecting Mechanical Parameters of a Monopode Jumping System with Reinforcement Learning0
CT-DQN: Control-Tutored Deep Reinforcement Learning0
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery0
Fuse and Adapt: Investigating the Use of Pre-Trained Self-Supervising Learning Models in Limited Data NLU problems0
Launchpad: Learning to Schedule Using Offline and Online RL Methods0
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task EnvironmentsCode1
Reward Function Optimization of a Deep Reinforcement Learning Collision Avoidance System0
Modeling Mobile Health Users as Reinforcement Learning Agents0
Online Learning-based Waveform Selection for Improved Vehicle Recognition in Automotive Radar0
Safe Reinforcement Learning with Probabilistic Control Barrier Functions for Ramp Merging0
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox0
Five Properties of Specific Curiosity You Didn't Know Curious Machines Should Have0
Kick-motion Training with DQN in AI Soccer Environment0
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement LearningCode1
MO-Gym: A Library of Multi-Objective Reinforcement Learning EnvironmentsCode2
Real-time Bidding Strategy in Display Advertising: An Empirical AnalysisCode1
Welfare and Fairness in Multi-objective Reinforcement LearningCode0
Funnel-based Reward Shaping for Signal Temporal Logic Tasks in Reinforcement Learning0
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Benchmark Results

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