hessian.AI @ CoRL

papers in the register

1. PianoMime: Learning a Generalist, Dexterous Piano Player from Internet Demonstrations.
   CoRL · 2024
2. One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion.
   CoRL · 2024
3. Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning.
   CoRL · 2024
4. Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning.
   CoRL · 2024
5. Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes.
   CoRL · 2022
6. Learn2Assemble with Structured Representations and Search for Robotic Architectural Construction.
   CoRL · 2021
7. Robot Reinforcement Learning on the Constraint Manifold.
   CoRL · 2021
8. Neural Posterior Domain Randomization.
   CoRL · 2021
9. High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards.
   CoRL · 2020
10. Receding Horizon Curiosity.
    CoRL · 2019
11. Stochastic Optimal Control as Approximate Input Inference.
    CoRL · 2019
12. Self-Paced Contextual Reinforcement Learning.
    CoRL · 2019
13. HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints.
    CoRL · 2019
14. Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment.
    CoRL · 2018
15. Gradient-free Policy Architecture Search and Adaptation.
    CoRL · 2017
16. Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals.
    CoRL · 2017
17. Active Incremental Learning of Robot Movement Primitives.
    CoRL · 2017

Venues from DBLP. Active register papers only. Corrections or removal · aisr@hessian.ai