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

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'25

Papers (including subtopics)

Grounded Answers for Multi-agent Decision-making Problem through Generative World Model NeurIPS 2024 Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning IJCAI 2024 Growing Q-networks: Solving continuous control tasks with adaptive control resolution L4DC 2024 GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning NeurIPS 2024 Guided Reinforcement Learning for Robust Multi-Contact Loco-Manipulation CoRL 2024 HACMan++: Spatially-Grounded Motion Primitives for Manipulation RSS 2024 Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning AAAI 2024 Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling ICML 2024 HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning ICML 2024 HarmonyDream: Task Harmonization Inside World Models ICML 2024 Harnessing Density Ratios for Online Reinforcement Learning ICLR 2024 Heterogeneous-Agent Reinforcement Learning JMLR 2024 HGAP: Boosting Permutation Invariant and Permutation Equivariant in Multi-Agent Reinforcement Learning via Graph Attention Network ICML 2024 HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic Programming ICML 2024 Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation CVPR 2024 Hierarchical Federated Learning with Multi-Timescale Gradient Correction NeurIPS 2024 Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention AAAI 2024 Hierarchical Reinforcement Learning for Point of Interest Recommendation IJCAI 2024 Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation IJCAI 2024 Hieros: Hierarchical Imagination on Structured State Space Sequence World Models ICML 2024 Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation AISTATS 2024 How Does Goal Relabeling Improve Sample Efficiency? ICML 2024 How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach NeurIPS 2024 How to Leverage Diverse Demonstrations in Offline Imitation Learning ICML 2024 HPO-RL-Bench: A Zero-Cost Benchmark for HPO in Reinforcement Learning AutoML 2024