Co-occurring keywords · papers mentioning both
Papers
Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization
EMNLP 2021
Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations
IJCAI 2021
Social Interactions as Recursive MDPs
CoRL 2021
Using Question Answering Rewards to Improve Abstractive Summarization
EMNLP 2021
Value Alignment Verification
ICML 2021
Avoiding Side Effects By Considering Future Tasks
NeurIPS 2020
Avoiding Side Effects in Complex Environments
NeurIPS 2020
Bayesian Robust Optimization for Imitation Learning
NeurIPS 2020
Causal Imitation Learning With Unobserved Confounders
NeurIPS 2020
Consequences of Misaligned AI
NeurIPS 2020
Deep Inverse Q-learning with Constraints
NeurIPS 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
Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic Diagnosis
AAAI 2020
Human-centric dialog training via offline reinforcement learning
EMNLP 2020
Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players
IJCAI 2020
Inverse Reinforcement Learning from a Gradient-based Learner
NeurIPS 2020
Learning a Reinforced Agent for Flexible Exposure Bracketing Selection
CVPR 2020
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards
ICML 2020
Learning from Demonstrations using Signal Temporal Logic
CoRL 2020
Learning Human Objectives by Evaluating Hypothetical Behavior
ICML 2020
Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning
ICLR 2020
Pitfalls of Learning a Reward Function Online
IJCAI 2020
Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning
CVPR 2020
Reward-rational (implicit) choice: A unifying formalism for reward learning
NeurIPS 2020