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reward function

291 papers

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Co-occurring keywords

reinforcement learning (4352) inverse reinforcement learning (205) imitation learning (744) policy learning (702) markov decision process (790) policy optimization (657) large language model (13587) preference learning (418) deep reinforcement learning (903) adversarial learning (1595)

Papers

Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization EMNLP 2021
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees NIPS 2021
Learning One Representation to Optimize All Rewards NIPS 2021
RewardsOfSum: Exploring Reinforcement Learning Rewards for Summarisation IJCNLP 2021
How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? IJCNLP 2021
On the Expressivity of Markov Reward NIPS 2021
Explicable Reward Design for Reinforcement Learning Agents NIPS 2021
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification NIPS 2021
How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? ACL 2021
Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards ACL 2021
RewardsOfSum: Exploring Reinforcement Learning Rewards for Summarisation ACL 2021
Inverse Reinforcement Learning with Explicit Policy Estimates AAAI 2021
Advice-Guided Reinforcement Learning in a non-Markovian Environment AAAI 2021
An Efficient Algorithm for Deep Stochastic Contextual Bandits AAAI 2021
Social Interactions as Recursive MDPs CORL 2021
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation CORL 2021
Using Question Answering Rewards to Improve Abstractive Summarization EMNLP 2021
Learning Generalizable Robotic Reward Functions from “In-The-Wild” Human Videos RSS 2021
Identifiability in inverse reinforcement learning NIPS 2021
On Learning Text Style Transfer with Direct Rewards NAACL 2021
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation NAACL 2021
Generalizable Imitation Learning from Observation via Inferring Goal Proximity NIPS 2021
Hyperparameter Selection for Imitation Learning ICML 2021
Reinforcement Learning Under Moral Uncertainty ICML 2021
A Bayesian Approach for Subset Selection in Contextual Bandits AAAI 2021