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

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Showing 551–600 of 15113 papers

TitleStatusHype
Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space AlignmentCode1
Mamba as Decision Maker: Exploring Multi-scale Sequence Modeling in Offline Reinforcement LearningCode1
FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement LearningCode1
SUBER: An RL Environment with Simulated Human Behavior for Recommender SystemsCode1
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-ThoughtCode1
Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement LearningCode1
Diffusion Policies creating a Trust Region for Offline Reinforcement LearningCode1
DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment RegimeCode1
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RLCode1
Reinforcement Learning in Dynamic Treatment Regimes Needs Critical ReexaminationCode1
DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing ProblemsCode1
Rethinking Transformers in Solving POMDPsCode1
Q-value Regularized Transformer for Offline Reinforcement LearningCode1
Triple Preference Optimization: Achieving Better Alignment with Less Data in a Single Step OptimizationCode1
Cross-Domain Policy Adaptation by Capturing Representation MismatchCode1
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree SearchCode1
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning RateCode1
Multi-turn Reinforcement Learning from Preference Human FeedbackCode1
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement LearningCode1
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing FlowCode1
Knowledge Graph Reasoning with Self-supervised Reinforcement LearningCode1
CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality ResearchCode1
Feasibility Consistent Representation Learning for Safe Reinforcement LearningCode1
Reinformer: Max-Return Sequence Modeling for Offline RLCode1
Value Augmented Sampling for Language Model Alignment and PersonalizationCode1
Human-centric Reward Optimization for Reinforcement Learning-based Automated Driving using Large Language ModelsCode1
Simulating the Economic Impact of Rationality through Reinforcement Learning and Agent-Based ModellingCode1
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPOCode1
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement LearningCode1
A fast balance optimization approach for charging enhancement of lithium-ion battery packs through deep reinforcement learningCode1
Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy DataCode1
WROOM: An Autonomous Driving Approach for Off-Road NavigationCode1
Dataset Reset Policy Optimization for RLHFCode1
How Consistent are Clinicians? Evaluating the Predictability of Sepsis Disease Progression with Dynamics ModelsCode1
Electric Vehicle Routing Problem for Emergency Power Supply: Towards Telecom Base Station ReliefCode1
Entity-Centric Reinforcement Learning for Object Manipulation from PixelsCode1
The New Agronomists: Language Models are Experts in Crop ManagementCode1
TractOracle: towards an anatomically-informed reward function for RL-based tractographyCode1
Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical SystemsCode1
PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement LearningCode1
Policy Bifurcation in Safe Reinforcement LearningCode1
HYDRA: A Hyper Agent for Dynamic Compositional Visual ReasoningCode1
Reinforcement Learning with Token-level Feedback for Controllable Text GenerationCode1
Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial GamesCode1
Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical SystemsCode1
SplAgger: Split Aggregation for Meta-Reinforcement LearningCode1
Improving the Validity of Automatically Generated Feedback via Reinforcement LearningCode1
Large Language Models are Learnable Planners for Long-Term RecommendationCode1
Flexible Robust Beamforming for Multibeam Satellite Downlink using Reinforcement LearningCode1
How Can LLM Guide RL? A Value-Based ApproachCode1
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Benchmark Results

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