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
lilGym: Natural Language Visual Reasoning with Reinforcement Learning
ACL 2023
Robot Learning with Sensorimotor Pre-training
CORL 2023
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback
CORL 2023
Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area
CORL 2023
SCONE: A Food Scooping Robot Learning Framework with Active Perception
CORL 2023
Learning Efficient Abstract Planning Models that Choose What to Predict
CORL 2023
DiSProD: Differentiable Symbolic Propagation of Distributions for Planning
IJCAI 2023
Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning
CORL 2023
PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training
CORL 2023
Finetuning Offline World Models in the Real World
CORL 2023
Diff-LfD: Contact-aware Model-based Learning from Visual Demonstration for Robotic Manipulation via Differentiable Physics-based Simulation and Rendering
CORL 2023
Continual Vision-based Reinforcement Learning with Group Symmetries
CORL 2023
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play
CORL 2023
HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation
CORL 2023
DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control
CORL 2023
Chat2Map: Efficient Scene Mapping From Multi-Ego Conversations
CVPR 2023
PIRLNav: Pretraining With Imitation and RL Finetuning for ObjectNav
CVPR 2023
Stabilize to Act: Learning to Coordinate for Bimanual Manipulation
CORL 2023
Reinforcement Learning Approaches for Traffic Signal Control under Missing Data
IJCAI 2023
Object-Goal Visual Navigation via Effective Exploration of Relations Among Historical Navigation States
CVPR 2023
MixSim: A Hierarchical Framework for Mixed Reality Traffic Simulation
CVPR 2023
Model-Based Reinforcement Learning for Cavity Filter Tuning
L4DC 2023
A New Path: Scaling Vision-and-Language Navigation With Synthetic Instructions and Imitation Learning
CVPR 2023
Affordances From Human Videos as a Versatile Representation for Robotics
CVPR 2023
A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning
IJCAI 2023
<
1
…
29
30
31
…
83
>