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08/24/2023
Pre-training Code Representation with Semantic Flow Graph for Effective Bug Localization
Enlightened by the big success of pre-training in natural language proce...
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06/06/2023
Zero-shot Preference Learning for Offline RL via Optimal Transport
Preference-based Reinforcement Learning (PbRL) has demonstrated remarkab...
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05/19/2023
Introspective Tips: Large Language Model for In-Context Decision Making
The emergence of large language models (LLMs) has substantially influenc...
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02/25/2023
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors
Deployment of reinforcement learning algorithms for robotics application...
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02/07/2023
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
Cooperative multi-agent reinforcement learning (MARL) requires agents to...
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01/16/2023
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination
Zero-shot human-AI coordination holds the promise of collaborating with ...
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12/22/2022
Multi-queue Momentum Contrast for Microvideo-Product Retrieval
The booming development and huge market of micro-videos bring new e-comm...
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11/17/2022
Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection
Nonlinear dimensionality reduction lacks interpretability due to the abs...
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01/17/2022
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning
Many real-world scenarios involve a team of agents that have to coordina...
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01/12/2022
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach
The Elo rating system is widely adopted to evaluate the skills of (chess...
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09/21/2021
Generalization in Text-based Games via Hierarchical Reinforcement Learning
Deep reinforcement learning provides a promising approach for text-based...
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08/17/2021
Learning to Compute Approximate Nash Equilibrium for Normal-form Games
In this paper, we propose a general meta learning approach to computing ...
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07/01/2021
MHER: Model-based Hindsight Experience Replay
Solving multi-goal reinforcement learning (RL) problems with sparse rewa...
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05/14/2021
Ordering-Based Causal Discovery with Reinforcement Learning
It is a long-standing question to discover causal relations among a set ...
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03/16/2021
Learning to Shape Rewards using a Game of Switching Controls
Reward shaping (RS) is a powerful method in reinforcement learning (RL) ...
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10/22/2020
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games
We study reinforcement learning (RL) for text-based games, which are int...
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09/10/2019
Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning
In many real-world problems, a team of agents need to collaborate to max...
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09/09/2018
