conftrace_

Methods

8,258 papers (12 classified directly here)

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

Deep RL (4,525) Policy Learning (2,633) Multi-Agent Systems (1,251) Offline RL (1,025) Model-Based RL (291) Meta-Learning (80)

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)

SEER: Facilitating Structured Reasoning and Explanation via Reinforcement Learning ACL 2024 Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic ICML 2024 Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks (Extended Abstract) IJCAI 2024 Self-Composing Policies for Scalable Continual Reinforcement Learning ICML 2024 SELFI: Autonomous Self-Improvement with RL for Vision-Based Navigation around People CoRL 2024 SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets ICML 2024 Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning ICML 2024 Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach ICML 2024 Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NeurIPS 2024 Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing AAAI 2024 Settling the sample complexity of online reinforcement learning COLT 2024 SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning ICML 2024 Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies COLING 2024 SHINE: Shielding Backdoors in Deep Reinforcement Learning ICML 2024 Simple Hierarchical Planning with Diffusion ICLR 2024 Simple Ingredients for Offline Reinforcement Learning ICML 2024 Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice AAAI 2024 Simplifying Constraint Inference with Inverse Reinforcement Learning NeurIPS 2024 Simplifying Latent Dynamics with Softly State-Invariant World Models NeurIPS 2024 SimPO: Simple Preference Optimization with a Reference-Free Reward NeurIPS 2024 Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint) AAAI 2024 Single-Trajectory Distributionally Robust Reinforcement Learning ICML 2024 SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning ICML 2024 Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning AAAI 2024 SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions NeurIPS 2024