conftrace_

inverse reinforcement learning

205 papers

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Also known as

IRL

Co-occurring keywords

reward function (291) imitation learning (744) policy learning (702) markov decision process (790) reward learning (68) multi-agent system (1819) bayesian inference (1907) maximum entropy (91) preference learning (418) expert demonstration (38)

Papers

Hexaïssa: Standing on Giants’ Shoulders—Routing the Best Chess Engines with Mixture-of-Experts and Latent Reward Learning AAAI 2026
CRISP: Curriculum-Inducing Primitive Informed Subgoal Prediction for Boosting Hierarchical Reinforcement Learning AAAI 2026
TW-CRL: Time-Weighted Contrastive Reward Learning for Efficient Inverse Reinforcement Learning AAAI 2026
Belief-Driven Value Alignment for Human-Robot Collaboration AAAI 2026
RAPID: Robust and Agile Planner Using Inverse Reinforcement Learning for Vision-Based Drone Navigation RSS 2025
Foresight in Motion: Reinforcing Trajectory Prediction with Reward Heuristics ICCV 2025
Leveraging Human Input to Enable Robust, Interactive, and Aligned AI Systems AAAI 2025
CREStE: Scalable Mapless Navigation with Internet Scale Priors and Counterfactual Guidance RSS 2025
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF JMLR 2025
Enhancing Portfolio Optimization via Heuristic-Guided Inverse Reinforcement Learning with Multi-Objective Reward and Graph-based Policy Learning IJCAI 2025
Inverse Reinforcement Learning by Estimating Expertise of Demonstrators AAAI 2025
Partial Identifiability in Inverse Reinforcement Learning for Agents with Non-Exponential Discounting AAAI 2025
Inverse Reinforcement Learning Meets Large Language Model Alignment ACL 2025
Learning to Collaborate with Unknown Agents in the Absence of Reward AAAI 2025
ME: Modelling Ethical Values for Value Alignment AAAI 2025
Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL JMLR 2025
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning NIPS 2024
Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment NIPS 2024
Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning NIPS 2024
Imitating Language via Scalable Inverse Reinforcement Learning NIPS 2024
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models NIPS 2024
Data Poisoning to Fake a Nash Equilibria for Markov Games AAAI 2024
Making AI Policies Transparent to Humans through Demonstrations AAAI 2024
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning NIPS 2024
Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms ICML 2024