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08/07/2023
AgentBench: Evaluating LLMs as Agents
Large Language Models (LLMs) are becoming increasingly smart and autonom...
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05/29/2023
Controllable Text-to-Image Generation with GPT-4
Current text-to-image generation models often struggle to follow textual...
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05/24/2023
Gorilla: Large Language Model Connected with Massive APIs
Large Language Models (LLMs) have seen an impressive wave of advances re...
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02/10/2023
The Wisdom of Hindsight Makes Language Models Better Instruction Followers
Reinforcement learning has seen wide success in finetuning large languag...
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12/17/2022
Latent Variable Representation for Reinforcement Learning
Deep latent variable models have achieved significant empirical successe...
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11/21/2022
TEMPERA: Test-Time Prompting via Reinforcement Learning
Careful prompt design is critical to the use of large language models in...
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11/21/2022
Multitask Vision-Language Prompt Tuning
Prompt Tuning, conditioning on task-specific learned prompt vectors, has...
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08/22/2022
Efficient Planning in a Compact Latent Action Space
While planning-based sequence modelling methods have shown great potenti...
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08/19/2022
Spectral Decomposition Representation for Reinforcement Learning
Representation learning often plays a critical role in reinforcement lea...
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07/14/2022
Making Linear MDPs Practical via Contrastive Representation Learning
It is common to address the curse of dimensionality in Markov decision p...
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06/15/2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
In reinforcement learning (RL), it is easier to solve a task if given a ...
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05/31/2022
Graph Backup: Data Efficient Backup Exploiting Markovian Transitions
The successes of deep Reinforcement Learning (RL) are limited to setting...
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11/22/2021
A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning
Representation learning lies at the heart of the empirical success of de...
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10/22/2021
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks
Goal-conditioned reinforcement learning (RL) can solve tasks in a wide r...
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10/07/2021
Multi-objective Optimization by Learning Space Partitions
In contrast to single-objective optimization (SOO), multi-objective opti...
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06/19/2021
Learning Space Partitions for Path Planning
Path planning, the problem of efficiently discovering high-reward trajec...
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06/18/2021
MADE: Exploration via Maximizing Deviation from Explored Regions
In online reinforcement learning (RL), efficient exploration remains par...
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07/09/2020
Contrastive Code Representation Learning
Machine-aided programming tools such as automated type predictors and au...
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06/10/2019
ANODEV2: A Coupled Neural ODE Evolution Framework
It has been observed that residual networks can be viewed as the explici...
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11/27/2018
AI Matrix - Synthetic Benchmarks for DNN
Deep neural network (DNN) architectures, such as convolutional neural ne...
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11/21/2018