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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

Inferring Rewards from Language in Context ACL 2022
How to Leverage Unlabeled Data in Offline Reinforcement Learning ICML 2022
Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior NIPS 2022
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge NIPS 2022
Using Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract) AAAI 2022
Evaluating the perceived safety of urban city via maximum entropy deep inverse reinforcement learning ACML 2022
Offline Reinforcement Learning for Visual Navigation CORL 2022
Adaptive Information Belief Space Planning IJCAI 2022
Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems NIPS 2022
Active Exploration for Inverse Reinforcement Learning NIPS 2022
Open-Ended Reinforcement Learning with Neural Reward Functions NIPS 2022
Controllable Text Simplification with Deep Reinforcement Learning IJCNLP 2022
Defining and Characterizing Reward Gaming NIPS 2022
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees NIPS 2022
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning NIPS 2022
Comparing BERT-based Reward Functions for Deep Reinforcement Learning in Machine Translation COLING 2022
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents NIPS 2022
PEPDS: A Polite and Empathetic Persuasive Dialogue System for Charity Donation COLING 2022
Empathetic Persuasion: Reinforcing Empathy and Persuasiveness in Dialogue Systems NAACL 2022
How to talk so AI will learn: Instructions, descriptions, and autonomy NIPS 2022
Value Alignment Verification ICML 2021
Learning Space Partitions for Path Planning NIPS 2021
Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning EMNLP 2021
Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning EMNLP 2021
Langevin Dynamics for Adaptive Inverse Reinforcement Learning of Stochastic Gradient Algorithms JMLR 2021