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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint) AAAI 2024
When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search NIPS 2024
AlphaMath Almost Zero: Process Supervision without Process NIPS 2024
MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery AAAI 2024
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective NIPS 2024
Scaling Offline Evaluation of Reinforcement Learning Agents through Abstraction AAAI 2024
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation NIPS 2024
Reward (Mis)design for Autonomous Driving (Abstract Reprint) AAAI 2024
Sustainability of Data Center Digital Twins with Reinforcement Learning AAAI 2024
Time-Constrained Robust MDPs NIPS 2024
Interpreting Learned Feedback Patterns in Large Language Models NIPS 2024
Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility AAAI 2024
Amortized Active Causal Induction with Deep Reinforcement Learning NIPS 2024
Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration AAAI 2024
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning NIPS 2024
Online Control with Adversarial Disturbance for Continuous-time Linear Systems NIPS 2024
Learning Successor Features the Simple Way NIPS 2024
Predicting Future Actions of Reinforcement Learning Agents NIPS 2024
Doubly Mild Generalization for Offline Reinforcement Learning NIPS 2024
REBEL: Reinforcement Learning via Regressing Relative Rewards NIPS 2024
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NIPS 2024
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing NIPS 2024
Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning NIPS 2024
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization NIPS 2024
Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation AAAI 2024