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 1451–1500 of 15113 papers

TitleStatusHype
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning—0
Burning RED: Unlocking Subtask-Driven Reinforcement Learning and Risk-Awareness in Average-Reward Markov Decision Processes—0
DR-MPC: Deep Residual Model Predictive Control for Real-world Social Navigation—0
Asymptotic Analysis of Sample-averaged Q-learning—0
Large Language Model-Enhanced Reinforcement Learning for Generic Bus Holding Control Strategies—0
Integrating Reinforcement Learning and Large Language Models for Crop Production Process Management Optimization and Control through A New Knowledge-Based Deep Learning Paradigm—0
Improving Generalization on the ProcGen Benchmark with Simple Architectural Changes and ScaleCode0
Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models—0
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator—0
Generalization of Compositional Tasks with Logical Specification via Implicit Planning—0
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning—0
Reinforcement Learning in Hyperbolic Spaces: Models and Experiments—0
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree SearchCode0
Physical Simulation for Multi-agent Multi-machine Tending—0
Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function OptimizationCode2
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free ControlCode0
Reinforcement Learning for Control of Non-Markovian Cellular Population DynamicsCode0
SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels—0
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL—0
Can we hop in general? A discussion of benchmark selection and design using the Hopper environment—0
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter EfficientCode1
Words as Beacons: Guiding RL Agents with High-Level Language Prompts—0
StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language ModelsCode1
Exploring Natural Language-Based Strategies for Efficient Number Learning in Children through Reinforcement LearningCode0
Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning—0
VerifierQ: Enhancing LLM Test Time Compute with Q-Learning-based Verifiers—0
Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-Switching—0
Offline Hierarchical Reinforcement Learning via Inverse Optimization—0
Masked Generative Priors Improve World Models Sequence Modelling Capabilities—0
Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare—0
Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning—0
Efficient Reinforcement Learning with Large Language Model Priors—0
Crafting desirable climate trajectories with RL explored socio-environmental simulationsCode0
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation—0
MotionRL: Align Text-to-Motion Generation to Human Preferences with Multi-Reward Reinforcement Learning—0
Flipping-based Policy for Chance-Constrained Markov Decision Processes—0
Q-WSL: Optimizing Goal-Conditioned RL with Weighted Supervised Learning via Dynamic Programming—0
A Safety Modulator Actor-Critic Method in Model-Free Safe Reinforcement Learning and Application in UAV Hovering—0
Retrieval-Augmented Decision Transformer: External Memory for In-context RLCode1
On the Modeling Capabilities of Large Language Models for Sequential Decision Making—0
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement LearningCode1
Solving robust MDPs as a sequence of static RL problems—0
Solving Multi-Goal Robotic Tasks with Decision Transformer—0
Reinforcement Learning From Imperfect Corrective Actions And Proxy Rewards—0
Towards using Reinforcement Learning for Scaling and Data Replication in Cloud Systems—0
AlphaRouter: Quantum Circuit Routing with Reinforcement Learning and Tree Search—0
Towards Measuring Goal-Directedness in AI Systems—0
GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systemsCode1
Data-driven Under Frequency Load Shedding Using Reinforcement Learning—0
Improved Off-policy Reinforcement Learning in Biological Sequence DesignCode0
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Benchmark Results

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