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
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
NeurIPS 2019
Measurement Maximizing Adaptive Sampling with Risk Bounding Functions
AAAI 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
CoRL 2019
MineRL: A Large-Scale Dataset of Minecraft Demonstrations
IJCAI 2019
Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions
AAAI 2019
Model-based Behavioral Cloning with Future Image Similarity Learning
CoRL 2019
Model-Free Linear Quadratic Control via Reduction to Expert Prediction
AISTATS 2019
Model Learning for Look-Ahead Exploration in Continuous Control
AAAI 2019
Multiagent Decision Making and Learning in Urban Environments
IJCAI 2019
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition
ICCV 2019
Multi-Robot Planning Under Uncertain Travel Times and Safety Constraints
IJCAI 2019
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning
ICLR 2019
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments
CoRL 2019
Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes
NeurIPS 2019
Network Offloading Policies for Cloud Robotics: A Learning-Based Approach
RSS 2019
Neural Lyapunov Control
NeurIPS 2019
OIL: Observational Imitation Learning
RSS 2019
Online Incremental Learning of the Terrain Traversal Cost in Autonomous Exploration
RSS 2019
On-Policy Robot Imitation Learning from a Converging Supervisor
CoRL 2019
On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference
ICML 2019
Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning
RSS 2019
Park: An Open Platform for Learning-Augmented Computer Systems
NeurIPS 2019
Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP)
AAAI 2019
Planning with Goal-Conditioned Policies
NeurIPS 2019
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control
ICLR 2019