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Reinforcement Learning
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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
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
ICML 2021
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning
ICML 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
ICML 2021
Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with $\sqrt$T Regret
ICML 2021
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
ICML 2021
Domain Adaptation Using System Invariant Dynamics Models
L4DC 2021
Safe Reinforcement Learning Using Robust Action Governor
L4DC 2021
Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation
ACML 2021
Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control
ACML 2021
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
ICML 2021
Discovering and Achieving Goals via World Models
NIPS 2021
The Logical Options Framework
ICML 2021
SimPoE: Simulated Character Control for 3D Human Pose Estimation
CVPR 2021
VLN BERT: A Recurrent Vision-and-Language BERT for Navigation
CVPR 2021
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
Consecutive Decoding for Speech-to-text Translation
AAAI 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
World Model as a Graph: Learning Latent Landmarks for Planning
ICML 2021
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