Multiagent Epidemiologic Inference through Realtime Contact Tracing. | 0 | 0.34 | 2021 |
Autonomous Planetary Landing via Deep Reinforcement Learning and Transfer Learning | 0 | 0.34 | 2021 |
Loop: Iterative Learning For Optimistic Planning On Robots | 0 | 0.34 | 2021 |
Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies | 0 | 0.34 | 2021 |
Explainable Inference on Sequential Data via Memory-Tracking | 0 | 0.34 | 2020 |
GUESs: Generative modeling of Unknown Environments and Spatial Abstraction for Robots | 0 | 0.34 | 2020 |
Cooperative Multi-agent Deep Reinforcement Learning in a 2 Versus 2 Free-Kick Task. | 0 | 0.34 | 2019 |
Cooperative Multi-Agent Deep Reinforcement Learning in Soccer Domains | 0 | 0.34 | 2019 |
S-AVE - Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots. | 0 | 0.34 | 2019 |
Dop: Deep Optimistic Planning With Approximate Value Function Evaluation | 1 | 0.36 | 2018 |
HI-VAL - Iterative Learning of Hierarchical Value Functions for Policy Generation. | 0 | 0.34 | 2018 |
Efficient Long-term Mapping in Dynamic Environments | 3 | 0.41 | 2018 |
Learning to Smooth with Bidirectional Predictive State Inference Machines. | 1 | 0.35 | 2016 |
Contexts for Symbiotic Autonomy: Semantic Mapping, Task Teaching and Social Robotics. | 0 | 0.34 | 2016 |
Learning Human-Robot Handovers Through π-STAM: Policy Improvement With Spatio-Temporal Affordance Maps. | 0 | 0.34 | 2016 |
Living with robots: Interactive environmental knowledge acquisition | 1 | 0.35 | 2016 |
Improved Learning of Dynamics Models for Control. | 1 | 0.35 | 2016 |
STAM: A Framework for Spatio-Temporal Affordance Maps. | 1 | 0.35 | 2016 |
Using Monte Carlo Search With Data Aggregation to Improve Robot Soccer Policies. | 1 | 0.35 | 2016 |
A proposal for semantic map representation and evaluation | 3 | 0.43 | 2015 |
Approaching Qualitative Spatial Reasoning About Distances and Directions in Robotics | 2 | 0.37 | 2015 |
Interactive Semantic Mapping: Experimental Evaluation | 2 | 0.37 | 2014 |
Robust and Incremental Robot Learning by Imitation. | 0 | 0.34 | 2014 |
Automatic Extraction of Structural Representations of Environments. | 5 | 0.45 | 2014 |
On-Line Semantic Mapping | 17 | 0.88 | 2013 |
Knowledge Representation for Robots through Human-Robot Interaction. | 2 | 0.36 | 2013 |