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1910.07113
Cited By
Solving Rubik's Cube with a Robot Hand
16 October 2019
OpenAI
Ilge Akkaya
Marcin Andrychowicz
Maciek Chociej
Ma-teusz Litwin
Bob McGrew
Arthur Petron
Alex Paino
Matthias Plappert
Glenn Powell
Raphael Ribas
Jonas Schneider
Nikolas Tezak
Jerry Tworek
Peter Welinder
Lilian Weng
Qiming Yuan
Wojciech Zaremba
Lei Zhang
ODL
Re-assign community
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Papers citing
"Solving Rubik's Cube with a Robot Hand"
50 / 775 papers shown
Title
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Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences
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Policy Transfer via Kinematic Domain Randomization and Adaptation
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Xiayu Zhang
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Andrew Critch
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Michael Neunert
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Rae Jeong
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Noah Y. Siegel
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A. Abdolmaleki
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Jun Luo
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High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards
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Learning Quadrupedal Locomotion over Challenging Terrain
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Jemin Hwangbo
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V. Koltun
Marco Hutter
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Evaluating the Safety of Deep Reinforcement Learning Models using Semi-Formal Verification
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A Learning Approach to Robot-Agnostic Force-Guided High Precision Assembly
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CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
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Nonstationary Reinforcement Learning with Linear Function Approximation
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Jinglin Chen
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Prioritized Level Replay
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Edward Grefenstette
Tim Rocktaschel
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Learning Diverse Options via InfoMax Termination Critic
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Scene Graph Modification Based on Natural Language Commands
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Quan Hung Tran
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Franck Dernoncourt
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06 Oct 2020
Policy Learning Using Weak Supervision
Jingkang Wang
Hongyi Guo
Zhaowei Zhu
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Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models
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Matthias Plappert
Wojciech Zaremba
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Revisiting Design Choices in Proximal Policy Optimization
Chloe Ching-Yun Hsu
Celestine Mendler-Dünner
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Soft policy optimization using dual-track advantage estimator
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Xuechun Wang
Luobao Zou
Zhiwei Zhuang
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Physically Embedded Planning Problems: New Challenges for Reinforcement Learning
M. Berk Mirza
Andrew Jaegle
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S. Racanière
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Multi-Task Learning with Deep Neural Networks: A Survey
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Phasic Policy Gradient
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Learning Dexterous Grasping with Object-Centric Visual Affordances
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Domain Adaptation Through Task Distillation
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Nimit Kalra
Philipp Krahenbuhl
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Ensuring Monotonic Policy Improvement in Entropy-regularized Value-based Reinforcement Learning
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Learning Affordance Landscapes for Interaction Exploration in 3D Environments
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Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation
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Forward and inverse reinforcement learning sharing network weights and hyperparameters
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Crossing The Gap: A Deep Dive into Zero-Shot Sim-to-Real Transfer for Dynamics
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Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction
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Abbas Sadat
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GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement Learning
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One for Many: Transfer Learning for Building HVAC Control
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Yanzhi Wang
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Qi Zhu
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Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard
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Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals
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