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 28512900 of 15113 papers

TitleStatusHype
NIL: No-data Imitation Learning by Leveraging Pre-trained Video Diffusion Models0
DeepSeek-Inspired Exploration of RL-based LLMs and Synergy with Wireless Networks: A Survey0
Scalable Evaluation of Online Facilitation Strategies via Synthetic Simulation of DiscussionsCode0
H2-MARL: Multi-Agent Reinforcement Learning for Pareto Optimality in Hospital Capacity Strain and Human Mobility during Epidemic0
SortingEnv: An Extendable RL-Environment for an Industrial Sorting Process0
SySLLM: Generating Synthesized Policy Summaries for Reinforcement Learning Agents Using Large Language Models0
Edge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather Conditions0
Local Look-Ahead Guidance via Verifier-in-the-Loop for Automated Theorem Proving0
Large-scale Regional Traffic Signal Control Based on Single-Agent Reinforcement Learning0
Unified Locomotion Transformer with Simultaneous Sim-to-Real Transfer for Quadrupeds0
Solving Bayesian inverse problems with diffusion priors and off-policy RL0
Optimisation of the Accelerator Control by Reinforcement Learning: A Simulation-Based Approach0
Evaluating Reinforcement Learning Safety and Trustworthiness in Cyber-Physical Systems0
MarineGym: A High-Performance Reinforcement Learning Platform for Underwater Robotics0
Balancing SoC in Battery Cells using Safe Action Perturbations0
Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning0
Zero-Shot Action Generalization with Limited Observations0
HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents0
MoRE: Unlocking Scalability in Reinforcement Learning for Quadruped Vision-Language-Action Models0
In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents0
A Cascading Cooperative Multi-agent Framework for On-ramp Merging Control Integrating Large Language Models0
Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model0
Adaptive routing protocols for determining optimal paths in AI multi-agent systems: a priority- and learning-enhanced approach0
Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning0
Efficient Neural Clause-Selection Reinforcement0
Automated Proof of Polynomial Inequalities via Reinforcement LearningCode0
GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks0
Dynamic Load Balancing for EV Charging Stations Using Reinforcement Learning and Demand Prediction0
A Novel Multi-Objective Reinforcement Learning Algorithm for Pursuit-Evasion Game0
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba ModelsCode0
Probabilistic Shielding for Safe Reinforcement Learning0
UAV-Assisted Coverage Hole Detection Using Reinforcement Learning in Urban Cellular Networks0
ULTHO: Ultra-Lightweight yet Efficient Hyperparameter Optimization in Deep Reinforcement Learning0
Synergizing AI and Digital Twins for Next-Generation Network Optimization, Forecasting, and Security0
Vairiational Stochastic Games0
Tractable Representations for Convergent Approximation of Distributional HJB Equations0
Generative Multi-Agent Q-Learning for Policy Optimization: Decentralized Wireless Networks0
Policy Constraint by Only Support Constraint for Offline Reinforcement LearningCode0
Multi-Robot Collaboration through Reinforcement Learning and Abstract Simulation0
Multi-Fidelity Policy Gradient Algorithms0
Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation0
Data-Efficient Learning from Human Interventions for Mobile Robots0
Provably Correct Automata Embeddings for Optimal Automata-Conditioned Reinforcement Learning0
Lessons learned from field demonstrations of model predictive control and reinforcement learning for residential and commercial HVAC: A reviewCode0
Towards Autonomous Reinforcement Learning for Real-World Robotic Manipulation with Large Language Models0
Can We Optimize Deep RL Policy Weights as Trajectory Modeling?0
Energy-Weighted Flow Matching for Offline Reinforcement Learning0
Rebalanced Multimodal Learning with Data-aware Unimodal Sampling0
Quantitative Resilience Modeling for Autonomous Cyber Defense0
Rewarding Doubt: A Reinforcement Learning Approach to Confidence Calibration of Large Language Models0
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Benchmark Results

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