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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
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
CORL 2021
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds
CORL 2021
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning
CORL 2021
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks
CORL 2021
Value Iteration in Continuous Actions, States and Time
ICML 2021
Guided Exploration with Proximal Policy Optimization using a Single Demonstration
ICML 2021
Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning
ICML 2021
Monotonic Robust Policy Optimization with Model Discrepancy
ICML 2021
Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks to an Adaptive Law
AAAI 2021
Imitation by Predicting Observations
ICML 2021
Differentiable Fluids with Solid Coupling for Learning and Control
AAAI 2021
Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications
AAAI 2021
Generalizable Episodic Memory for Deep Reinforcement Learning
ICML 2021
Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control
AAAI 2021
Inter-Task Similarity for Lifelong Reinforcement Learning in Heterogeneous Tasks
IJCAI 2021
Hierarchical Reinforcement Learning for Integrated Recommendation
AAAI 2021
Learning Task Informed Abstractions
ICML 2021
Embodied Visual Active Learning for Semantic Segmentation
AAAI 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
ICML 2021
Uncertain-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric
L4DC 2021
LEOC: A Principled Method in Integrating Reinforcement Learning and Classical Control Theory
L4DC 2021
Online 3D Bin Packing with Constrained Deep Reinforcement Learning
AAAI 2021
Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory
L4DC 2021
When to stop value iteration: stability and near-optimality versus computation
L4DC 2021
Hierarchically and Cooperatively Learning Traffic Signal Control
AAAI 2021
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