Robotics
2,420 papers
Papers per year
4
13
13
14
4
14
15
20
20
18
14
22
53
99
176
229
289
276
360
380
335
52
'5
'10
'15
'20
'25
Papers
Learning Predictive Models for Ergonomic Control of Prosthetic Devices
CoRL 2020
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation
CoRL 2020
Learning Robot Skills with Temporal Variational Inference
ICML 2020
Learning Task-Driven Control Policies via Information Bottlenecks
RSS 2020
Learning to Compose Hierarchical Object-Centric Controllers for Robotic Manipulation
CoRL 2020
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
NeurIPS 2020
Learning to Follow Directions in Street View
AAAI 2020
Learning to Guide Random Search
ICLR 2020
Learning to Improve Multi-Robot Hallway Navigation
CoRL 2020
Learning to Manipulate Deformable Objects without Demonstrations
RSS 2020
Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees
ICLR 2020
Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation
EMNLP 2020
Learning to Walk in the Real World with Minimal Human Effort
CoRL 2020
Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning
CoRL 2020
Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection
RSS 2020
Marginal Utility for Planning in Continuous or Large Discrete Action Spaces
NeurIPS 2020
Model-Augmented Actor-Critic: Backpropagating through Paths
ICLR 2020
Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous
CoRL 2020
Model-Based Reinforcement Learning with Value-Targeted Regression
L4DC 2020
Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach
IJCAI 2020
Modular Robot Design Synthesis with Deep Reinforcement Learning
AAAI 2020
Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients
AAAI 2020
Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds
AAAI 2020
MOPO: Model-based Offline Policy Optimization
NeurIPS 2020
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments
CoRL 2020