Justin Fu
14 papers · 2017–2024 · 5 venues · across top CS/AI venues
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Dynamic Duo
(12)
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Machine Learning
(10)
Reinforcement Learning
(9)
Methods
(9)
Artificial Intelligence
(8)
Core AI
(8)
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(7)
Applications
(3)
Natural Language Processing
(2)
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(2)
Generation
(2)
Learning Paradigms
(2)
Optimization & Theory
(2)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Keywords
continuous control
(4)
inverse reinforcement learning
(3)
deep reinforcement learning
(3)
imitation learning
(3)
policy optimization
(2)
language model
(2)
dialogue system
(2)
reward function
(2)
black-box optimization
(1)
function approximation
(1)
off-policy evaluation
(1)
conversational ai
(1)
autonomous driving
(1)
policy learning
(1)
domain adaptation
(1)
model-based reinforcement learning
(1)
transfer learning
(1)
language grounding
(1)
variational inference
(1)
task-oriented dialogue
(1)
Papers
Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving
ECCV 2024
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
NeurIPS 2023
CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement Learning
NAACL 2022
Context-Aware Language Modeling for Goal-Oriented Dialogue Systems
NAACL 2022
Benchmarks for Deep Off-Policy Evaluation
ICLR 2021
Learning to Reach Goals via Iterated Supervised Learning
ICLR 2021
Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation
ICLR 2021
Diagnosing Bottlenecks in Deep Q-learning Algorithms
ICML 2019
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following
ICLR 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
NeurIPS 2019
When to Trust Your Model: Model-Based Policy Optimization
NeurIPS 2019
Learning Robust Rewards with Adverserial Inverse Reinforcement Learning
ICLR 2018
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition
NeurIPS 2018
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
NeurIPS 2017