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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1251–1300 of 15113 papers

TitleStatusHype
Reinforcement learning-enhanced genetic algorithm for wind farm layout optimization—0
From Laws to Motivation: Guiding Exploration through Law-Based Reasoning and Rewards—0
Broad Critic Deep Actor Reinforcement Learning for Continuous Control—0
Learning a local trading strategy: deep reinforcement learning for grid-scale renewable energy integration—0
Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward—0
Enhancing Molecular Design through Graph-based Topological Reinforcement Learning—0
Free Energy Projective Simulation (FEPS): Active inference with interpretability—0
Segmenting Action-Value Functions Over Time-Scales in SARSA via TD(Δ)—0
Multi-Agent Environments for Vehicle Routing ProblemsCode1
Umbrella Reinforcement Learning -- computationally efficient tool for hard non-linear problemsCode0
Natural Language Reinforcement LearningCode2
GraCo -- A Graph Composer for Integrated Circuits—0
Marco-o1: Towards Open Reasoning Models for Open-Ended SolutionsCode5
Time-Scale Separation in Q-Learning: Extending TD() for Action-Value Function Decomposition—0
Model Checking for Reinforcement Learning in Autonomous Driving: One Can Do More Than You Think!—0
A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback—0
Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning—0
GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning—0
LEDRO: LLM-Enhanced Design Space Reduction and Optimization for Analog CircuitsCode1
ACING: Actor-Critic for Instruction Learning in Black-Box Large Language ModelsCode0
Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Robot Learning—0
Action-Attentive Deep Reinforcement Learning for Autonomous Alignment of BeamlinesCode0
Preserving Expert-Level Privacy in Offline Reinforcement Learning—0
Regret-Free Reinforcement Learning for LTL Specifications—0
Upside-Down Reinforcement Learning for More Interpretable Optimal Control—0
Continual Task Learning through Adaptive Policy Self-CompositionCode0
Robust Reinforcement Learning under Diffusion Models for Data with Jumps—0
No-regret Exploration in Shuffle Private Reinforcement Learning—0
Enhancing Decision Transformer with Diffusion-Based Trajectory Branch Generation—0
Financial News-Driven LLM Reinforcement Learning for Portfolio Management—0
Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis—0
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with TransformersCode2
Robust Defense Against Extreme Grid Events Using Dual-Policy Reinforcement Learning Agents—0
An Investigation of Offline Reinforcement Learning in Factorisable Action SpacesCode0
Adaptive Learning of Design Strategies over Non-Hierarchical Multi-Fidelity Models via Policy Alignment—0
Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay—0
Multi-agent Path Finding for Timed Tasks using Evolutionary Games—0
Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability—0
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning—0
Towards Sample-Efficiency and Generalization of Transfer and Inverse Reinforcement Learning: A Comprehensive Literature Review—0
To bootstrap or to rollout? An optimal and adaptive interpolation—0
Innate-Values-driven Reinforcement Learning based Cognitive Modeling—0
Towards Practical Deep Schedulers for Allocating Cellular Radio Resources—0
Robot See, Robot Do: Imitation Reward for Noisy Financial Environments—0
LLMStinger: Jailbreaking LLMs using RL fine-tuned LLMs—0
RLInspect: An Interactive Visual Approach to Assess Reinforcement Learning Algorithm—0
Recommender systems and reinforcement learning for human-building interaction and context-aware support: A text mining-driven review of scientific literatureCode0
TIPO: Text to Image with Text Presampling for Prompt OptimizationCode2
Doubly Mild Generalization for Offline Reinforcement LearningCode1
Robust Offline Reinforcement Learning for Non-Markovian Decision Processes—0
Show:102550
← PrevPage 26 of 303Next →

Benchmark Results

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