Policy Learning
2,633 papers
Papers per year
6
1
1
12
11
14
10
24
16
26
26
27
25
27
61
122
198
236
281
291
346
433
377
62
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'25
Papers
Adaptive Exploration for Multi-Reward Multi-Policy Evaluation
ICML 2025
Adaptive Human-Robot Collaboration using Type-Based IRL
UAI 2025
A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial
AAAI 2025
Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning
ICLR 2025
A General Framework for Off-Policy Learning with Partially-Observed Reward
ICLR 2025
Agent-Centric Actor-Critic for Asynchronous Multi-Agent Reinforcement Learning
ICML 2025
AirExo-2: Scaling up Generalizable Robotic Imitation Learning with Low-Cost Exoskeletons
CoRL 2025
Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning
AAAI 2025
AlphaPO: Reward Shape Matters for LLM Alignment
ICML 2025
Ambiguity Awareness Optimization: Towards Semantic Disambiguation for Direct Preference Optimization
EMNLP 2025
A Model of Place Field Reorganization During Reward Maximization
ICML 2025
A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems
ICML 2025
A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence
ICLR 2025
Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment
AAAI 2025
A Safe Exploration Approach to Constrained Markov Decision Processes
AISTATS 2025
A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach
ICML 2025
A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals
ICLR 2025
ASP-Driven Emergency Planning for Norm Violations in Reinforcement Learning
AAAI 2025
Assembloid Agency: Unreal Engine API for brain-on-a-chip platforms
NeurIPS 2025
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
ICLR 2025
ATK: Automatic Task-driven Keypoint Selection for Robust Policy Learning
CoRL 2025
Augmented Lagrangian Risk-constrained Reinforcement Learning for Portfolio Optimization (Student Abstract)
AAAI 2025
Automated Proof of Polynomial Inequalities via Reinforcement Learning
CVPR 2025
Auto-Weighted Group Relative Preference Optimization for Multi-Objective Text Generation Tasks
EMNLP 2025
Avoiding Catastrophe in Online Learning by Asking for Help
ICML 2025