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09/18/2023
Prompt a Robot to Walk with Large Language Models
Large language models (LLMs) pre-trained on vast internet-scale data hav...
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09/16/2023
Stylized Table Tennis Robots Skill Learning with Incomplete Human Demonstrations
In recent years, Reinforcement Learning (RL) is becoming a popular techn...
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09/08/2023
The CALLA Dataset: Probing LLMs' Interactive Knowledge Acquisition from Chinese Medical Literature
The application of Large Language Models (LLMs) to the medical domain ha...
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07/01/2023
DoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment
Large language models encode a vast amount of semantic knowledge and pos...
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06/30/2023
Decentralized Motor Skill Learning for Complex Robotic Systems
Reinforcement learning (RL) has achieved remarkable success in complex r...
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05/25/2023
Asking Before Action: Gather Information in Embodied Decision Making with Language Models
With strong capabilities of reasoning and a generic understanding of the...
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04/21/2023
AMP in the wild: Learning robust, agile, natural legged locomotion skills
The successful transfer of a learned controller from simulation to the r...
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12/24/2022
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context
One of the key challenges in deploying RL to real-world applications is ...
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12/03/2022
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward
Reinforcement learning often suffer from the sparse reward issue in real...
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10/14/2022
Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate
Safe reinforcement learning (RL) that solves constraint-satisfactory pol...
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10/09/2022
Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning
Adapting to the changes in transition dynamics is essential in robotic a...
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10/01/2022
Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning
Humans are capable of abstracting various tasks as different combination...
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09/11/2022
Performance-Driven Controller Tuning via Derivative-Free Reinforcement Learning
Choosing an appropriate parameter set for the designed controller is cri...
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07/27/2022
A Contact-Safe Reinforcement Learning Framework for Contact-Rich Robot Manipulation
Reinforcement learning shows great potential to solve complex contact-ri...
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06/17/2022
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer
Transformer has achieved great successes in learning vision and language...
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05/23/2022
Flow-based Recurrent Belief State Learning for POMDPs
Partially Observable Markov Decision Process (POMDP) provides a principl...
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05/16/2022
Reachability Constrained Reinforcement Learning
Constrained reinforcement learning (CRL) has gained significant interest...
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03/23/2022
Scale-Equivalent Distillation for Semi-Supervised Object Detection
Recent Semi-Supervised Object Detection (SS-OD) methods are mainly based...
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03/02/2022
Chance-Constrained Iterative Linear-Quadratic Stochastic Games
Dynamic game arises as a powerful paradigm for multi-robot planning, for...
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01/29/2022
Zeroth-Order Actor-Critic
Zeroth-order optimization methods and policy gradient based first-order ...
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11/25/2021
Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning
In the trial-and-error mechanism of reinforcement learning (RL), a notor...
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11/15/2021
Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning
Safety is the major consideration in controlling complex dynamical syste...
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09/30/2021
Most Probable Transitions from Metastable to Oscillatory Regimes in a Carbon Cycle System
Global climate changes are related to the ocean's store of carbon. We st...
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08/26/2021
Model-based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian
Safety is essential for reinforcement learning (RL) applied in the real ...
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08/14/2021
Constrained Iterative LQG for Real-Time Chance-Constrained Gaussian Belief Space Planning
Motion planning under uncertainty is of significant importance for safet...
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05/22/2021
Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety
The safety constraints commonly used by existing safe reinforcement lear...
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03/02/2021
Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function
Model information can be used to predict future trajectories, so it has ...
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02/23/2021
Mixed Policy Gradient
Reinforcement learning (RL) has great potential in sequential decision-m...
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02/17/2021
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning
Safety is essential for reinforcement learning (RL) applied in real-worl...
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02/16/2021
Steadily Learn to Drive with Virtual Memory
Reinforcement learning has shown great potential in developing high-leve...
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12/19/2020
Model-Based Actor-Critic with Chance Constraint for Stochastic System
Safety constraints are essential for reinforcement learning (RL) applied...
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03/21/2020
End-to-end Autonomous Driving Perception with Sequential Latent Representation Learning
Current autonomous driving systems are composed of a perception system a...
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01/23/2020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
Unlike popular modularized framework, end-to-end autonomous driving seek...
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11/11/2019
Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network
Probabilistic vehicle trajectory prediction is essential for robust safe...
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08/19/2019
The Design and Implementation of a Real Time Visual Search System on JD E-commerce Platform
We present the design and implementation of a visual search system for r...
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06/06/2019
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks
As autonomous vehicles (AVs) need to interact with other road users, it ...
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04/20/2019
Model-free Deep Reinforcement Learning for Urban Autonomous Driving
Urban autonomous driving decision making is challenging due to complex r...
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03/02/2019
