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GEM: Group Enhanced Model for Learning Dynamical Control Systems
Learning the dynamics of a physical system wherein an autonomous agent o...
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Simultaneous Navigation and Construction Benchmarking Environments
We need intelligent robots for mobile construction, the process of navig...
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Task-Agnostic Morphology Evolution
Deep reinforcement learning primarily focuses on learning behavior, usua...
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Reinforcement Learning with Prototypical Representations
Learning effective representations in image-based environments is crucia...
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A Framework for Efficient Robotic Manipulation
Data-efficient learning of manipulation policies from visual observation...
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Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation
Vision-based robotics often separates the control loop into one module f...
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Self-Supervised Policy Adaptation during Deployment
In most real world scenarios, a policy trained by reinforcement learning...
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Automatic Curriculum Learning through Value Disagreement
Continually solving new, unsolved tasks is the key to learning diverse b...
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Reinforcement Learning with Augmented Data
Learning from visual observations is a fundamental yet challenging probl...
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State-Only Imitation Learning for Dexterous Manipulation
Dexterous manipulation has been a long-standing challenge in robotics. R...
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Learning Predictive Representations for Deformable Objects Using Contrastive Estimation
Using visual model-based learning for deformable object manipulation is ...
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Hierarchically Decoupled Imitation for Morphological Transfer
Learning long-range behaviors on complex high-dimensional agents is a fu...
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Generalized Hindsight for Reinforcement Learning
One of the key reasons for the high sample complexity in reinforcement l...
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Learning to Manipulate Deformable Objects without Demonstrations
In this paper we tackle the problem of deformable object manipulation th...
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Environment Probing Interaction Policies
A key challenge in reinforcement learning (RL) is environment generaliza...
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PyRobot: An Open-source Robotics Framework for Research and Benchmarking
This paper introduces PyRobot, an open-source robotics framework for res...
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Robot Learning via Human Adversarial Games
Much work in robotics has focused on "human-in-the-loop" learning techni...
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Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions
This paper proposes a sample-efficient yet simple approach to learning c...
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Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation
In recent years, we have seen an emergence of data-driven approaches in ...
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Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
Data-driven approaches to solving robotic tasks have gained a lot of tra...
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Asymmetric Actor Critic for Image-Based Robot Learning
Deep reinforcement learning (RL) has proven a powerful technique in many...
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Predictive-State Decoders: Encoding the Future into Recurrent Networks
Recurrent neural networks (RNNs) are a vital modeling technique that rel...
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CASSL: Curriculum Accelerated Self-Supervised Learning
Recent self-supervised learning approaches focus on using a few thousand...
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Robust Adversarial Reinforcement Learning
Deep neural networks coupled with fast simulation and improved computati...
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Supervision via Competition: Robot Adversaries for Learning Tasks
There has been a recent paradigm shift in robotics to data-driven learni...
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Learning to Push by Grasping: Using multiple tasks for effective learning
Recently, end-to-end learning frameworks are gaining prevalence in the f...
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The Curious Robot: Learning Visual Representations via Physical Interactions
What is the right supervisory signal to train visual representations? Cu...
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