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04/27/2020
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning
Reinforcement learning provides a general framework for learning robotic...
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04/27/2020
The Ingredients of Real-World Robotic Reinforcement Learning
The success of reinforcement learning for real world robotics has been, ...
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04/16/2020
A Game Theoretic Framework for Model Based Reinforcement Learning
Model-based reinforcement learning (MBRL) has recently gained immense in...
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01/09/2020
Benchmarking In-Hand Manipulation
The purpose of this benchmark is to evaluate the planning and control as...
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10/25/2019
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
We present relay policy learning, a method for imitation and reinforceme...
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09/25/2019
Deep Dynamics Models for Learning Dexterous Manipulation
Dexterous multi-fingered hands can provide robots with the ability to fl...
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09/25/2019
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
ROBEL is an open-source platform of cost-effective robots designed for r...
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08/13/2019
Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real
Manipulation and locomotion are closely related problems that are often ...
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07/02/2019
Dynamics-Aware Unsupervised Discovery of Skills
Conventionally, model-based reinforcement learning (MBRL) aims to learn ...
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03/05/2019
Learning Latent Plans from Play
We propose learning from teleoperated play data (LfP) as a way to scale ...
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12/13/2018
Soft Actor-Critic Algorithms and Applications
Model-free deep reinforcement learning (RL) algorithms have been success...
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10/14/2018
Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost
Dexterous multi-fingered robotic hands can perform a wide range of manip...
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10/02/2018
Time Reversal as Self-Supervision
A longstanding challenge in robot learning for manipulation tasks has be...
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03/20/2018
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
Policy gradient methods have enjoyed great success in deep reinforcement...
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02/26/2018
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
The purpose of this technical report is two-fold. First of all, it intro...
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11/27/2017
Divide-and-Conquer Reinforcement Learning
Standard model-free deep reinforcement learning (RL) algorithms sample a...
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09/28/2017