Methods
8,258 papers (12 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
6
1
2
2
16
21
24
16
31
36
44
47
44
37
63
171
350
606
801
920
974
1,144
1,380
1,203
319
'5
'10
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'25
Papers (including subtopics)
Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning
ACL 2025
Spatial-Temporal Aware Visuomotor Diffusion Policy Learning
ICCV 2025
Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation
CVPR 2025
Speaking at the Right Level: Literacy-Controlled Counterspeech Generation with RAG-RL
EMNLP 2025
Speeding up Policy Simulation in Supply Chain RL
ICML 2025
SPoRt - Safe Policy Ratio: Certified Training and Deployment of Task Policies in Model-Free RL
IJCAI 2025
SPO: Self Preference Optimization with Self Regularization
EMNLP 2025
SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin
EMNLP 2025
SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning
AAAI 2025
Stabilizing and Accelerating Autofocus with Expert Trajectory Regularized Deep Reinforcement Learning
CVPR 2025
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation
ICLR 2025
Stable Offline Value Function Learning with Bisimulation-based Representations
ICML 2025
STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization
ICML 2025
State Revisit and Re-explore: Bridging Sim-to-Real Gaps in Offline-and-Online Reinforcement Learning with An Imperfect Simulator
IJCAI 2025
Statistical field theory for Markov decision processes under uncertainty
JMLR 2025
Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs
ICLR 2025
Stay Hungry, Keep Learning: Sustainable Plasticity for Deep Reinforcement Learning
ICML 2025
Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning
ICML 2025
STeCa: Step-level Trajectory Calibration for LLM Agent Learning
ACL 2025
Steerable Scene Generation with Post Training and Inference-Time Search
CoRL 2025
Steering LLM Reasoning Through Bias-Only Adaptation
EMNLP 2025
Steering Your Diffusion Policy with Latent Space Reinforcement Learning
CoRL 2025
StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization
EMNLP 2025
Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence
ICML 2025
STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving
ICML 2025