conftrace_

Reinforcement Learning

9,982 papers (145 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Methods (8,258) Applications (3,394)

Papers per year

6

2

2

9

27

30

36

20

43

49

59

61

58

51

83

216

419

722

966

1,128

1,156

1,384

1,648

1,445

362

'5

'10

'15

'20

'25

Papers (including subtopics)

D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples ICML 2025 DiaLLMs: EHR-Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction ACL 2025 Dialogue Is Not Enough to Make a Communicative BabyLM (But Neither Is Developmentally Inspired Reinforcement Learning) EMNLP 2025 Dialogue Systems for Emotional Support via Value Reinforcement ACL 2025 Differentiable Information Enhanced Model-Based Reinforcement Learning AAAI 2025 Diffusion Guided Adaptive Augmentation for Generalization in Visual Reinforcement Learning ICCV 2025 Diffusion Policy Policy Optimization ICLR 2025 Digi-Q: Learning VLM Q-Value Functions for Training Device-Control Agents ICLR 2025 DiMa: Understanding the Hardness of Online Matching Problems via Diffusion Models ICML 2025 DIME: Diffusion-Based Maximum Entropy Reinforcement Learning ICML 2025 DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning ICML 2025 Directly Forecasting Belief for Reinforcement Learning with Delays ICML 2025 Direct Repair Optimization: Training Small Language Models For Educational Program Repair Improves Feedback ACL 2025 Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values EMNLP 2025 DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data EMNLP 2025 Discovering Options That Minimize Average Planning Time AAAI 2025 Discrete Codebook World Models for Continuous Control ICLR 2025 Discrete-Time Hybrid Automata Learning: Legged Locomotion Meets Skateboarding RSS 2025 Discriminative Policy Optimization for Token-Level Reward Models ICML 2025 Disentangled Multi-Context Meta-Learning: Unlocking Robust and Generalized Task Learning CoRL 2025 DisPIM: Distilling PreTrained Image Models for Generalizable Visuo-Motor Control IJCAI 2025 DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model ICCV 2025 Distilling Contact Planning for Fast Trajectory Optimization in Robot Air Hockey RSS 2025 Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping ICML 2025 Distributionally Robust Policy Learning under Concept Drifts ICML 2025