| TACTO: A Fast, Flexible, and Open-Source Simulator for High-Resolution Vision-Based Tactile Sensors | 1 | 0.41 | 2022 |
| Towards Learning to Play Piano with Dexterous Hands and Touch. | 0 | 0.34 | 2022 |
| Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning. | 0 | 0.34 | 2021 |
| Planning In Learned Latent Action Spaces For Generalizable Legged Locomotion | 0 | 0.34 | 2021 |
| Active 3D Shape Reconstruction from Vision and Touch. | 0 | 0.34 | 2021 |
| Model-Based Meta-Reinforcement Learning For Flight With Suspended Payloads | 0 | 0.34 | 2021 |
| Learning Invariant Representations for Reinforcement Learning without Reconstruction | 0 | 0.34 | 2021 |
| Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning | 1 | 0.35 | 2020 |
| 3d Shape Reconstruction From Vision And Touch | 0 | 0.34 | 2020 |
| Objective Mismatch in Model-based Reinforcement Learning | 0 | 0.34 | 2020 |
| OmniTact: A Multi-Directional High-Resolution Touch Sensor | 2 | 0.40 | 2020 |
| Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization | 0 | 0.34 | 2020 |
| DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation | 4 | 0.44 | 2020 |
| Adversarial Continual Learning | 2 | 0.42 | 2020 |
| Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots. | 0 | 0.34 | 2019 |
| Manipulation by Feel: Touch-Based Control with Deep Predictive Models | 11 | 0.70 | 2019 |
| Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning | 0 | 0.34 | 2019 |
| Fast Neural Network Verification via Shadow Prices. | 1 | 0.36 | 2019 |
| Bayesian Multi-Objective Optimisation with Mixed Analytical and Black-Box Functions: Application to Tissue Engineering. | 1 | 0.39 | 2019 |
| Low-Level Control Of A Quadrotor With Deep Model-Based Reinforcement Learning | 1 | 0.37 | 2019 |
| Control of Musculoskeletal Systems Using Learned Dynamics Models. | 0 | 0.34 | 2018 |
| Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models. | 21 | 0.62 | 2018 |
| The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes? | 8 | 0.51 | 2017 |
| MBMF: Model-Based Priors for Model-Free Reinforcement Learning. | 4 | 0.42 | 2017 |
| Goal-Driven Dynamics Learning Via Bayesian Optimization | 11 | 0.58 | 2017 |
| A low-cost sensor glove with vibrotactile feedback and multiple finger joint and hand motion sensing for human-robot interaction | 2 | 0.39 | 2016 |
| Bayesian optimization for learning gaits under uncertainty - An experimental comparison on a dynamic bipedal walker. | 0 | 0.34 | 2016 |
| Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations | 1 | 0.37 | 2015 |
| An experimental comparison of Bayesian optimization for bipedal locomotion | 15 | 0.99 | 2014 |
| Bayesian Gait Optimization for Bipedal Locomotion. | 9 | 0.72 | 2014 |
| Toward fast policy search for learning legged locomotion. | 10 | 0.58 | 2012 |
