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 36013650 of 15113 papers

TitleStatusHype
Robust off-policy Reinforcement Learning via Soft Constrained Adversary0
Foundations of Multivariate Distributional Reinforcement Learning0
Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning0
On Convergence of Average-Reward Q-Learning in Weakly Communicating Markov Decision Processes0
AdapShare: An RL-Based Dynamic Spectrum Sharing Solution for O-RAN0
Reinforcement Learning for Adaptive Traffic Signal Control: Turn-Based and Time-Based Approaches to Reduce Congestion0
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning0
Atari-GPT: Benchmarking Multimodal Large Language Models as Low-Level Policies in Atari Games0
RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate ModelsCode0
MiWaves Reinforcement Learning AlgorithmCode0
Simultaneous Training of First- and Second-Order Optimizers in Population-Based Reinforcement Learning0
Evaluating the Impact of Multiple DER Aggregators on Wholesale Energy Markets: A Hybrid Mean Field Approach0
Optimization Solution Functions as Deterministic Policies for Offline Reinforcement Learning0
Learning Robust Reward Machines from Noisy LabelsCode0
Benchmarking Reinforcement Learning Methods for Dexterous Robotic Manipulation with a Three-Fingered Gripper0
Unsupervised-to-Online Reinforcement Learning0
DynamicRouteGPT: A Real-Time Multi-Vehicle Dynamic Navigation Framework Based on Large Language Models0
Model-Based Reinforcement Learning for Control of Strongly-Disturbed Unsteady Aerodynamic Flows0
Multi-Agent Target Assignment and Path Finding for Intelligent Warehouse: A Cooperative Multi-Agent Deep Reinforcement Learning Perspective0
Data Augmentation for Continual RL via Adversarial Gradient Episodic Memory0
Rethinking State Disentanglement in Causal Reinforcement Learning0
Reinforcement Learning for Causal Discovery without Acyclicity Constraints0
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning0
Mastering the Digital Art of War: Developing Intelligent Combat Simulation Agents for Wargaming Using Hierarchical Reinforcement Learning0
Localized Observation Abstraction Using Piecewise Linear Spatial Decay for Reinforcement Learning in Combat Simulations0
Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards0
Query-Efficient Video Adversarial Attack with Stylized Logo0
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement LearningCode0
Domain Adaptation for Offline Reinforcement Learning with Limited Samples0
Using Part-based Representations for Explainable Deep Reinforcement Learning0
Advances in Preference-based Reinforcement Learning: A Review0
Offline Model-Based Reinforcement Learning with Anti-Exploration0
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey0
Integrating Multi-Modal Input Token Mixer Into Mamba-Based Decision Models: Decision MetaMamba0
MalLight: Influence-Aware Coordinated Traffic Signal Control for Traffic Signal Malfunctions0
Efficient Exploration in Deep Reinforcement Learning: A Novel Bayesian Actor-Critic Algorithm0
World Models Increase Autonomy in Reinforcement Learning0
Enhancing Reinforcement Learning Through Guided Search0
Ancestral Reinforcement Learning: Unifying Zeroth-Order Optimization and Genetic Algorithms for Reinforcement Learning0
Reinforcement learning-based adaptive speed controllers in mixed autonomy condition0
Vanilla Gradient Descent for Oblique Decision TreesCode0
Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds0
Neural Reward MachinesCode0
CAT: Caution Aware Transfer in Reinforcement Learning via Distributional Risk0
BCR-DRL: Behavior- and Context-aware Reward for Deep Reinforcement Learning in Human-AI Coordination0
Experimental evaluation of offline reinforcement learning for HVAC control in buildingsCode0
Online Behavior Modification for Expressive User Control of RL-Trained Robots0
Adaptive User Journeys in Pharma E-Commerce with Reinforcement Learning: Insights from SwipeRx0
Off-Policy Reinforcement Learning with High Dimensional Reward0
Large Language Models Prompting With Episodic Memory0
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Benchmark Results

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