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A Geometric Perspective on Self-Supervised Policy Adaptation
One of the most challenging aspects of real-world reinforcement learning...
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Confidence-rich grid mapping
Representing the environment is a fundamental task in enabling robots to...
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Modeling Long-horizon Tasks as Sequential Interaction Landscapes
Complex object manipulation tasks often span over long sequences of oper...
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Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning
Reinforcement learning provides a general framework for learning robotic...
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Efficient Adaptation for End-to-End Vision-Based Robotic Manipulation
One of the great promises of robot learning systems is that they will be...
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Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
We study reinforcement learning in settings where sampling an action fro...
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Gradient Surgery for Multi-Task Learning
While deep learning and deep reinforcement learning (RL) systems have de...
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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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Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Meta-reinforcement learning algorithms can enable robots to acquire new ...
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Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping
The distributional perspective on reinforcement learning (RL) has given ...
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Dynamics-Aware Unsupervised Discovery of Skills
Conventionally, model-based reinforcement learning (MBRL) aims to learn ...
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Learning to Interactively Learn and Assist
When deploying autonomous agents in the real world, we need to think abo...
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Training an Interactive Helper
Developing agents that can quickly adapt their behavior to new tasks rem...
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Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations
Simulation-to-real transfer is an important strategy for making reinforc...
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Scaling simulation-to-real transfer by learning composable robot skills
We present a novel solution to the problem of simulation-to-real transfe...
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Region Growing Curriculum Generation for Reinforcement Learning
Learning a policy capable of moving an agent between any two states in t...
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