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 60016050 of 15113 papers

TitleStatusHype
Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs0
Semi-Markov Offline Reinforcement Learning for HealthcareCode0
A Deep Reinforcement Learning-Based Caching Strategy for IoT Networks with Transient Data0
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning AttacksCode0
A Survey of Multi-Agent Deep Reinforcement Learning with Communication0
Backpropagation through Time and Space: Learning Numerical Methods with Multi-Agent Reinforcement Learning0
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies0
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed AgentsCode0
Latent-Variable Advantage-Weighted Policy Optimization for Offline RLCode1
Lazy-MDPs: Towards Interpretable Reinforcement Learning by Learning When to Act0
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement LearningCode1
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information CollaborationCode1
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning0
Multi-View Dreaming: Multi-View World Model with Contrastive Learning0
Zipfian environments for Reinforcement LearningCode1
Non-Linear Reinforcement Learning in Large Action Spaces: Structural Conditions and Sample-efficiency of Posterior Sampling0
Bi-Manual Manipulation and Attachment via Sim-to-Real Reinforcement Learning0
A Differentiable Approach to Combinatorial Optimization using Dataless Neural Networks0
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility0
L2Explorer: A Lifelong Reinforcement Learning Assessment EnvironmentCode0
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation0
FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems0
The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its Warehouse Applications0
Switch Trajectory Transformer with Distributional Value Approximation for Multi-Task Reinforcement Learning0
Uncertainty Estimation for Language Reward Models0
Reinforcement Learning for Optimal Control of a District Cooling Energy Plant0
Orchestrated Value Mapping for Reinforcement LearningCode0
Calibration of Derivative Pricing Models: a Multi-Agent Reinforcement Learning Perspective0
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning0
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation0
The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning AlgorithmsCode1
Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems0
Combining imitation and deep reinforcement learning to accomplish human-level performance on a virtual foraging taskCode0
Active Phase-Encode Selection for Slice-Specific Fast MR Scanning Using a Transformer-Based Deep Reinforcement Learning Framework0
Deep Binary Reinforcement Learning for Scalable Verification0
Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control0
A Machine Learning Approach for Prosumer Management in Intraday Electricity Markets0
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism0
Reinforcement Learning for Linear Quadratic Control is Vulnerable Under Cost Manipulation0
Random Ensemble Reinforcement Learning for Traffic Signal Control0
Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature ControlCode0
Learning Torque Control for Quadrupedal Locomotion0
Action-Constrained Reinforcement Learning for Frame-Level Bit Allocation in HEVC/H.265 through Frank-Wolfe Policy Optimization0
Artificial Intelligence in Vehicular Wireless Networks: A Case Study Using ns-30
Breaking the Curse of Dimensionality in Multiagent State Space: A Unified Agent Permutation Framework0
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement LearningCode0
Multi-robot Cooperative Pursuit via Potential Field-Enhanced Reinforcement Learning0
Neuro-symbolic Natural Logic with Introspective Revision for Natural Language InferenceCode0
Multi-Objective reward generalization: Improving performance of Deep Reinforcement Learning for applications in single-asset tradingCode1
Gym-saturation: an OpenAI Gym environment for saturation provers0
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Benchmark Results

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