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Robotics
2069 directly classified papers
Papers per year
2005: 4
2006: 13
2007: 13
2008: 14
2009: 4
2010: 14
2011: 15
2012: 20
2013: 20
2014: 18
2015: 14
2016: 22
2017: 53
2018: 84
2019: 166
2020: 215
2021: 282
2022: 268
2023: 342
2024: 254
2025: 193
2026: 41
Papers
Hierarchical and Partially Observable Goal-Driven Policy Learning With Goals Relational Graph
CVPR 2021
Visual Navigation With Spatial Attention
CVPR 2021
SOON: Scenario Oriented Object Navigation With Graph-Based Exploration
CVPR 2021
NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces
CVPR 2021
S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling
CVPR 2021
Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement
EMNLP 2021
Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization
NIPS 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
NIPS 2021
Hierarchical Skills for Efficient Exploration
NIPS 2021
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning
NIPS 2021
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation
NIPS 2021
Model-Based Reinforcement Learning via Imagination with Derived Memory
NIPS 2021
Reinforcement Learning Under Moral Uncertainty
ICML 2021
SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning
ICML 2021
Learning Routines for Effective Off-Policy Reinforcement Learning
ICML 2021
Skill Discovery for Exploration and Planning using Deep Skill Graphs
ICML 2021
Compositional Reinforcement Learning from Logical Specifications
NIPS 2021
History Aware Multimodal Transformer for Vision-and-Language Navigation
NIPS 2021
World Model as a Graph: Learning Latent Landmarks for Planning
ICML 2021
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration
ICML 2021
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
NIPS 2021
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
AISTATS 2021
Deep Coherent Exploration for Continuous Control
ICML 2021
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models
AISTATS 2021
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization
AISTATS 2021
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