James MacGlashan
7 papers · 2015–2022 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Gold 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (17)
🧭
Keyword Pioneer
📈
Trend Setter
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Core AI
(5)
Reinforcement Learning
(4)
Methods
(3)
Machine Learning
(2)
Applications · Reinforcement Learning
(2)
Learning Types · Machine Learning
(2)
Deep Learning
(1)
Natural Language Processing
(1)
Robotics
(1)
Applications · Natural Language Processing
(1)
Capabilities
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
reinforcement learning
(3)
imitation learning
(2)
policy learning
(2)
reward function
(2)
inverse reinforcement learning
(1)
language grounding
(1)
robot learning
(1)
bayesian model
(1)
value estimation
(1)
temporal abstraction
(1)
natural language
(1)
robot manipulation
(1)
human feedback
(1)
reward shaping
(1)
general value function
(1)
soft actor-critic
(1)
goal inference
(1)
reward signal
(1)
reward decomposition
(1)
value decomposition
(1)
Papers
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents
NeurIPS 2022
Gamma-Nets: Generalizing Value Estimation over Timescale
AAAI 2020
Interactive Learning from Policy-Dependent Human Feedback
ICML 2017
Showing versus doing: Teaching by demonstration
NeurIPS 2016
Between Imitation and Intention Learning
IJCAI 2015
Grounding English Commands to Reward Functions
RSS 2015
Portable Option Discovery for Automated Learning Transfer in Object-Oriented Markov Decision Processes
IJCAI 2015