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Showing 26–50 of 677 papers

TitleStatusHype
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning—0
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains—0
Offline Multi-agent Reinforcement Learning via Score Decomposition—0
Model Tensor PlanningCode1
Directly Forecasting Belief for Reinforcement Learning with DelaysCode0
Variational OOD State Correction for Offline Reinforcement Learning—0
Text-to-Decision Agent: Learning Generalist Policies from Natural Language Supervision—0
Learning Transferable Friction Models and LuGre Identification via Physics Informed Neural Networks—0
Adapting World Models with Latent-State Dynamics Residuals—0
Beyond Non-Expert Demonstrations: Outcome-Driven Action Constraint for Offline Reinforcement Learning—0
Handling Delay in Real-Time Reinforcement LearningCode0
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent CooperationCode0
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning—0
CAE: Repurposing the Critic as an Explorer in Deep Reinforcement Learning—0
Likelihood Reward Redistribution—0
Application of linear regression method to the deep reinforcement learning in continuous action casesCode0
Residual Policy Gradient: A Reward View of KL-regularized Objective—0
An Real-Sim-Real (RSR) Loop Framework for Generalizable Robotic Policy Transfer with Differentiable SimulationCode1
AVG-DICE: Stationary Distribution Correction by Regression—0
SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning—0
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic—0
Offline Reinforcement Learning via Inverse OptimizationCode0
RIZE: Regularized Imitation Learning via Distributional Reinforcement LearningCode0
Yes, Q-learning Helps Offline In-Context RL—0
PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement LearningCode0
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