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Matthias Plappert
Matthias Plappert
GitHub
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Learning dexterous in-hand manipulation
OAIM Andrychowicz, B Baker, M Chociej, R Jozefowicz, B McGrew, ...
The International Journal of Robotics Research 39 (1), 3-20, 2020
11392020
OpenAI Baselines
P Dhariwal, C Hesse, M Plappert, A Radford, J Schulman, S Sidor, Y Wu
9252017
Stable baselines
A Hill, A Raffin, M Ernestus, A Gleave, A Kanervisto, R Traore, P Dhariwal, ...
7202018
Solving Rubik's Cube with a Robot Hand
I Akkaya, M Andrychowicz, M Chociej, M Litwin, B McGrew, A Petron, ...
arXiv preprint arXiv:1910.07113, 2019
7072019
Parameter Space Noise for Exploration
M Plappert, R Houthooft, P Dhariwal, S Sidor, RY Chen, X Chen, T Asfour, ...
arXiv preprint arXiv:1706.01905, 2017
5632017
Evaluating large language models trained on code
M Chen, J Tworek, H Jun, Q Yuan, HPO Pinto, J Kaplan, H Edwards, ...
arXiv preprint arXiv:2107.03374, 2021
3682021
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
M Plappert, M Andrychowicz, A Ray, B McGrew, B Baker, G Powell, ...
arXiv preprint arXiv:1802.09464, 2018
3632018
Training verifiers to solve math word problems
K Cobbe, V Kosaraju, M Bavarian, M Chen, H Jun, L Kaiser, M Plappert, ...
arXiv preprint arXiv:2110.14168, 2021
1252021
Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks
M Plappert, C Mandery, T Asfour
Robotics and Autonomous Systems, 2018
802018
Keras-RL
M Plappert
https://github.com/keras-rl/keras-rl, 2016
642016
The KIT Motion-Language Dataset
M Plappert, C Mandery, T Asfour
Big Data 4 (4), 236-252, 2016
512016
Asymmetric self-play for automatic goal discovery in robotic manipulation
OAI OpenAI, M Plappert, R Sampedro, T Xu, I Akkaya, V Kosaraju, ...
arXiv preprint arXiv:2101.04882, 2021
252021
Dimensionality Reduction for Whole-Body Human Motion Recognition
C Mandery, M Plappert, J Borras, T Asfour
19th International Conference on Information Fusion (FUSION), 355-362, 2016
202016
Using tactile sensing to improve the sample efficiency and performance of deep deterministic policy gradients for simulated in-hand manipulation tasks
A Melnik, L Lach, M Plappert, T Korthals, R Haschke, H Ritter
Frontiers in Robotics and AI 8, 538773, 2021
142021
Tactile Sensing and Deep Reinforcement Learning for In-Hand Manipulation Tasks
A Melnik, L Lach, M Plappert, T Korthals, R Haschke, H Ritter
IROS Workshop on Autonomous Object Manipulation, 2019
122019
Classification of Human Whole-Body Motion using Hidden Markov Models
M Plappert
arXiv preprint arXiv:1605.01569, 2016
42016
Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models
LM Zhang, M Plappert, W Zaremba
arXiv preprint arXiv:2009.12864, 2020
22020
OpenAI 发布训练实体机器人的最新模拟环境
M PLAPPERT, M ANDRYCHOWICZ, A RAY, BOB MCGREW, B BAKER, ...
机器人产业, 2018
2018
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Artikelen 1–18