Search this site

Embedded Files

Home
Schedule
Speakers
Papers
Submit

Home
Schedule
Speakers
Papers
Submit
More

Foundation Models for Decision Making

Accepted Papers

Oral Presentations

Is Conditional Generative Modeling all you need for Decision-Making?
Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
VIMA: General Robot Manipulation with Multimodal Prompts
Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action
REACT: Synergizing Reasoning and Acting in Language Models
Generative Pretraining for Black-Box Optimization
In-context Reinforcement Learning with Algorithm Distillation
Large Language Models Are Human-Level Prompt Engineers

Poster Presentations

LATTE: LAnguage Trajectory TransformEr
Control Graph as Unified IO for Morphology-Task Generalization
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task
Pre-Training for Robots: Leveraging Diverse Multitask Data via Offline Reinforcement Learning
LMPriors: Pre-Trained Language Models as Task-Specific Priors
PDDL Planning with Pretrained Large Language Models
Hyper-Decision Transformer for Efficient Online Policy Adaptation
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
Pareto-Efficient Decision Agents for Offline Multi-Objective Reinforcement Learning
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks
Planning with Large Language Models for Code Generation
Offline Reinforcement Learning from Heteroskedastic Data Via Support Constraints
Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
Return Augmentation gives Supervised RL Temporal Compositionality
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
Planning With Large Language Models Via Corrective Re-Prompting
SMART: Self-supervised Multi-task pretrAining with contRol Transformers
Skill Decision Transformer
Skill Acquisition by Instruction Augmentation on Offline Datasets
ConserWeightive Behavioral Cloning for Reliable Offline Reinforcement Learning
In-Context Policy Iteration
Wall Street Tree Search: Risk-Aware Planning for Offline Reinforcement Learning
A Mixture-of-Expert Approach to RL-based Dialogue Management
CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation
Large Language Models Still Can't Plan (A Benchmark for LLMs on Planning and Reasoning about Change)
Build generally reusable agent-environment interaction models
CLaP: Conditional Latent Planners for Offline Reinforcement Learning
How crucial is Transformer in Decision Transformer?
Foundation Models for Semantic Novelty in Reinforcement Learning
Multi-step Planning for Automated Hyperparameter Optimization with OptFormer
Decision Making as Language Generation
Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains
Intelligent Variable Selection for Branch & Bound Methods
Collaborating with language models for embodied reasoning
Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
Foundation Models for History Compression in Reinforcement Learning
Learning Control by Iterative Inversion
A Control-Centric Benchmark for Video Prediction
What Makes Certain Pre-Trained Visual Representations Better for Robotic Learning?
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pretraining
Revealing the Bias in Large Language Models via Reward Structured Questions
Elicitation Inference Optimization for Multi-Principal-Agent Alignment
Supervised Q-Learning can be a Strong Baseline for Continuous Control
Constrained MDPs can be Solved by Eearly-Termination with Recurrent Models
Understanding Hindsight Goal Relabeling Requires Rethinking Divergence Minimization
Contextual Transformer for Offline Meta Reinforcement Learning

Workshop on Foundation Models for Decision Making

Email: fmdm-external@google.com

Google Sites

Report abuse

Page details

Page updated

Google Sites

Report abuse