Co-occurring keywords · papers mentioning both
Papers
Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions
ICML 2020
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization
NeurIPS 2020
f-IRL: Inverse Reinforcement Learning via State Marginal Matching
CoRL 2020
Generalized Hindsight for Reinforcement Learning
NeurIPS 2020
GraphOpt: Learning Optimization Models of Graph Formation
ICML 2020
Incorporating Failure Events in Agents’ Decision Making to Improve User Satisfaction
IJCAI 2020
Intrinsic Reward Driven Imitation Learning via Generative Model
ICML 2020
Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players
IJCAI 2020
Inverse Reinforcement Learning from a Gradient-based Learner
NeurIPS 2020
Learning from Demonstrations using Signal Temporal Logic
CoRL 2020
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression
CoRL 2020
Learning Human Objectives by Evaluating Hypothetical Behavior
ICML 2020
Learning Navigation Costs from Demonstrations with Semantic Observations
L4DC 2020
Learning Strategic Network Emergence Games
NeurIPS 2020
Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning
ICLR 2020
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
CoRL 2020
Online Bayesian Goal Inference for Boundedly Rational Planning Agents
NeurIPS 2020
Pitfalls of Learning a Reward Function Online
IJCAI 2020
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework
NeurIPS 2020
Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning
CVPR 2020
Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior
JMLR 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
NeurIPS 2020
The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research
AAAI 2020
Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions
AISTATS 2020
A Divergence Minimization Perspective on Imitation Learning Methods
CoRL 2019