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
'15
'20
'25
Papers (including subtopics)
Think Twice, Act Once: A Co-Evolution Framework of LLM and RL for Large-Scale Decision Making
ICML 2025
Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves
AAAI 2025
Through the Valley: Path to Effective Long CoT Training for Small Language Models
EMNLP 2025
Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning
AAAI 2025
Time-Aware World Model for Adaptive Prediction and Control
ICML 2025
Token-level Proximal Policy Optimization for Query Generation
EMNLP 2025
To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning
AAAI 2025
Tool-as-Interface: Learning Robot Policies from Observing Human Tool Use
CoRL 2025
Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch
EMNLP 2025
TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning
ICLR 2025
Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization
EMNLP 2025
TopoCut: Learning Multi-Step Cutting with Spectral Rewards and Discrete Diffusion Policies
CoRL 2025
Touch2Shape: Touch-Conditioned 3D Diffusion for Shape Exploration and Reconstruction
CVPR 2025
Toward Efficient Multi-Agent Exploration With Trajectory Entropy Maximization
ICLR 2025
Toward Real-World Cooperative and Competitive Soccer with Quadrupedal Robot Teams
CoRL 2025
Towards A Better Initial Policy Model For Scalable Long-CoT Reinforcement Learning
ACL 2025
Towards Adaptive Mechanism Activation in Language Agent
COLING 2025
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems
IJCAI 2025
Towards Cost-Effective Reward Guided Text Generation
ICML 2025
Towards Cost Sensitive Decision Making
AISTATS 2025
Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning
AAAI 2025
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration
ACL 2025
Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning
ICML 2025
Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning
ICLR 2025
Towards General-Purpose Model-Free Reinforcement Learning
ICLR 2025