Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Applications
Reinforcement Learning
›
Applications
›
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
Roll-Drop: accounting for observation noise with a single parameter
L4DC 2023
Neural Volumetric Memory for Visual Locomotion Control
CVPR 2023
Continuous Versatile Jumping Using Learned Action Residuals
L4DC 2023
Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking
ACML 2023
Agile Catching with Whole-Body MPC and Blackbox Policy Learning
L4DC 2023
Robot Parkour Learning
CORL 2023
Practical Critic Gradient based Actor Critic for On-Policy Reinforcement Learning
L4DC 2023
On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills
CORL 2023
A Reinforcement Learning Look at Risk-Sensitive Linear Quadratic Gaussian Control
L4DC 2023
Model-Based Reinforcement Learning for Cavity Filter Tuning
L4DC 2023
Adaptive Tracking Control of Dielectric Elastomer Soft Actuators with Viscoelastic Hysteresis Compensation
RSS 2023
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States
L4DC 2023
Deep Off-Policy Iterative Learning Control
L4DC 2023
Emergence of Abstract State Representations in Embodied Sequence Modeling
EMNLP 2023
SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control
AAAI 2023
PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks
AAAI 2023
Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks
AAAI 2023
Multi-Action Dialog Policy Learning from Logged User Feedback
AAAI 2023
Low Emission Building Control with Zero-Shot Reinforcement Learning
AAAI 2023
Vessel-to-Vessel Motion Compensation with Reinforcement Learning
AAAI 2023
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning
AAAI 2023
Efficient Exploration in Resource-Restricted Reinforcement Learning
AAAI 2023
The Multi-Agent Transportation Problem
AAAI 2023
Physics-Informed Model-Based Reinforcement Learning
L4DC 2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning
AAAI 2023
<
1
…
20
21
22
…
83
>