Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,661)
Clear ✕Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters
Vladislav Kurenkov, Sergey Kolesnikov
2021
ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search
Jiaqi Li, Haoran Li, Yaran Chen +5 more
2021
Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving
Qiyu Wan, Haojun Xia, Xingyao Zhang +3 more
2021
Camera Calibration through Camera Projection Loss
Talha Hanif Butt, Murtaza Taj
2021
Understanding Domain Randomization for Sim-to-real Transfer
Xiaoyu Chen, Jiachen Hu, Chi Jin +2 more
2021
Design of an Intelligent Vision Algorithm for Recognition and Classification of Apples in an Orchard Scene
Hamid Majidi Balanji, Alaeedin Rahmani Didar, Mohamadali Hadad Derafshi
2021
Assurance Monitoring of Learning Enabled Cyber-Physical Systems Using Inductive Conformal Prediction based on Distance Learning
Dimitrios Boursinos, Xenofon Koutsoukos
2021
Hierarchical Potential-based Reward Shaping from Task Specifications
Luigi Berducci, Edgar A. Aguilar, Dejan Ničković +1 more
2021
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks
Robert McCarthy, Qiang Wang, Stephen J. Redmond
2021
3D-MOV: Audio-Visual LSTM Autoencoder for 3D Reconstruction of Multiple Objects from Video
Justin Wilson, Ming C. Lin
2021
Continuous-Time Fitted Value Iteration for Robust Policies
Michael Lutter, Boris Belousov, Shie Mannor +3 more
2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models
Michael Lutter, Jan Peters
2021
Safe Control with Neural Network Dynamic Models
Tianhao Wei, Changliu Liu
2021
Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations
Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K Prasanna
2021
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances
Dieqiao Feng, Carla P. Gomes, Bart Selman
2021
Guiding Evolutionary Strategies by Differentiable Robot Simulators
Vladislav Kurenkov, Bulat Maksudov
2021
Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning
Yunke Ao, Le Chen, Florian Tschopp +3 more
2021
Sim2Real for Soft Robotic Fish via Differentiable Simulation
John Z. Zhang, Yu Zhang, Pingchuan Ma +5 more
2021
Reinforcement Learning for Quantitative Trading
Shuo Sun, Rundong Wang, Bo An
2021
The VVAD-LRS3 Dataset for Visual Voice Activity Detection
Adrian Lubitz, Matias Valdenegro-Toro, Frank Kirchner
2021
Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing
Julius Rückin, Liren Jin, Marija Popović
2021
Model-Free Reinforcement Learning for Optimal Control of MarkovDecision Processes Under Signal Temporal Logic Specifications
Krishna C. Kalagarla, Rahul Jain, Pierluigi Nuzzo
2021
Efficiently Training On-Policy Actor-Critic Networks in Robotic Deep Reinforcement Learning with Demonstration-like Sampled Exploration
Zhaorun Chen, Binhao Chen, Shenghan Xie +4 more
2021
Bayesian deep learning of affordances from RGB images
Lorenzo Mur-Labadia, Ruben Martinez-Cantin
2021