Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕Reinforcement Learning in Practice: Opportunities and Challenges
Yuxi Li
2022
Navigating Conceptual Space; A new take on Artificial General Intelligence
Per R. Leikanger
2022
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
Peide Huang, Mengdi Xu, Fei Fang +1 more
2022
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?
Beren Millidge, Tommaso Salvatori, Yuhang Song +2 more
2022
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization
Brandon Trabucco, Xinyang Geng, Aviral Kumar +1 more
2022
L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning
Taisuke Kobayashi
2022
Robust Learning from Observation with Model Misspecification
Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban +3 more
2022
Robots Learn Increasingly Complex Tasks with Intrinsic Motivation and Automatic Curriculum Learning
Sao Mai Nguyen, Nicolas Duminy, Alexandre Manoury +2 more
2022
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer
Xingyu Liu, Deepak Pathak, Kris M. Kitani
2022
Visual Servoing for Pose Control of Soft Continuum Arm in a Structured Environment
Shivani Kamtikar, Samhita Marri, Benjamin Walt +3 more
2022
Deconstructing the Inductive Biases of Hamiltonian Neural Networks
Nate Gruver, Marc Finzi, Samuel Stanton +1 more
2022
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
Desik Rengarajan, Gargi Vaidya, Akshay Sarvesh +2 more
2022
Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL
Rui Yang, Yiming Lu, Wenzhe Li +6 more
2022
Social-DualCVAE: Multimodal Trajectory Forecasting Based on Social Interactions Pattern Aware and Dual Conditional Variational Auto-Encoder
Jiashi Gao, Xinming Shi, James J. Q. Yu
2022
SFMGNet: A Physics-based Neural Network To Predict Pedestrian Trajectories
Sakif Hossain, Fatema T. Johora, Jörg P. Müller +2 more
2022
Model-Free Reinforcement Learning for Symbolic Automata-encoded Objectives
Anand Balakrishnan, Stefan Jakšić, Edgar A. Aguilar +2 more
2022
Learning Interpretable, High-Performing Policies for Autonomous Driving
Rohan Paleja, Yaru Niu, Andrew Silva +3 more
2022
Fixed-Point Code Synthesis For Neural Networks
Hanane Benmaghnia, Matthieu Martel, Yassamine Seladji
2022
Imitation Learning by Estimating Expertise of Demonstrators
Mark Beliaev, Andy Shih, Stefano Ermon +2 more
2022
Accelerated Quality-Diversity through Massive Parallelism
Bryan Lim, Maxime Allard, Luca Grillotti +1 more
2022
Image-based Navigation in Real-World Environments via Multiple Mid-level Representations: Fusion Models, Benchmark and Efficient Evaluation
Marco Rosano, Antonino Furnari, Luigi Gulino +2 more
2022
Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning
Naman Shah, Siddharth Srivastava
2022
Contrastive Learning from Demonstrations
André Correia, Luís A. Alexandre
2022
Overcoming Exploration: Deep Reinforcement Learning for Continuous Control in Cluttered Environments from Temporal Logic Specifications
Mingyu Cai, Erfan Aasi, Calin Belta +1 more
2022