Cover Image

Bayesian Inverse Reinforcement Learning for Non-Markovian Rewards

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Topper, Noah, Velasquez, Alvaro, Atia, George
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RLAF: Reinforcement Learning from Automaton Feedback
by: Alinejad, Mahyar, et al.
Published: (2025)

Provably Sample-Efficient Robust Reinforcement Learning with Average Reward
by: Roch, Zachary, et al.
Published: (2025)

Beyond Simple Sum of Delayed Rewards: Non-Markovian Reward Modeling for Reinforcement Learning
by: Tang, Yuting, et al.
Published: (2024)

Online Robust Reinforcement Learning with General Function Approximation
by: Ghosh, Debamita, et al.
Published: (2025)

ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning
by: Ghosh, Debamita, et al.
Published: (2025)

CADENT: Gated Hybrid Distillation for Sample-Efficient Transfer in Reinforcement Learning
by: Alinejad, Mahyar, et al.
Published: (2026)

Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning
by: Singireddy, Suraj, et al.
Published: (2023)

Model-Based Reinforcement Learning in Discrete-Action Non-Markovian Reward Decision Processes
by: Trapasso, Alessandro, et al.
Published: (2025)

On Feasible Rewards in Multi-Agent Inverse Reinforcement Learning
by: Freihaut, Till, et al.
Published: (2024)

Reinforcement Learning in Non-Markovian Environments
by: Chandak, Siddharth, et al.
Published: (2022)

Walking the Values in Bayesian Inverse Reinforcement Learning
by: Bajgar, Ondrej, et al.
Published: (2024)

Multi Task Inverse Reinforcement Learning for Common Sense Reward
by: Glazer, Neta, et al.
Published: (2024)

Robust Offline Reinforcement Learning for Non-Markovian Decision Processes
by: Huang, Ruiquan, et al.
Published: (2024)

A Bayesian Approach to Robust Inverse Reinforcement Learning
by: Wei, Ran, et al.
Published: (2023)

PAC Apprenticeship Learning with Bayesian Active Inverse Reinforcement Learning
by: Bajgar, Ondrej, et al.
Published: (2025)

Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning
by: Zhang, Chi, et al.
Published: (2025)

Policy Gradient Methods for Non-Markovian Reinforcement Learning
by: Kar, Avik, et al.
Published: (2026)

Kernel Density Bayesian Inverse Reinforcement Learning
by: Mandyam, Aishwarya, et al.
Published: (2023)

Safe Reinforcement Learning with Learned Non-Markovian Safety Constraints
by: Low, Siow Meng, et al.
Published: (2024)

Reinforcement Learning with Exogenous States and Rewards
by: Trimponias, George, et al.
Published: (2023)

Sample-Efficient Distributionally Robust Multi-Agent Reinforcement Learning via Online Interaction
by: Farhat, Zain Ulabedeen, et al.
Published: (2025)

PAGAR: Taming Reward Misalignment in Inverse Reinforcement Learning-Based Imitation Learning with Protagonist Antagonist Guided Adversarial Reward
by: Zhou, Weichao, et al.
Published: (2023)

Reward Transfer from Inverse Reinforcement Learning: A Coupled Minimax Approach
by: Hao, Guang-Yuan, et al.
Published: (2026)

Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics
by: Kratz, Josiah C., et al.
Published: (2024)

Learning Rewards, Not Labels: Adversarial Inverse Reinforcement Learning for Machinery Fault Detection
by: Neupane, Dhiraj, et al.
Published: (2026)

Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning
by: Schlaginhaufen, Andreas, et al.
Published: (2024)

BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL
by: Hung, Yu-Heng, et al.
Published: (2025)

On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory
by: Zhang, Yangchun, et al.
Published: (2024)

Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning
by: Trinh, Tu, et al.
Published: (2022)

Inverse Reinforcement Learning with Dynamic Reward Scaling for LLM Alignment
by: Cheng, Ruoxi, et al.
Published: (2025)

TW-CRL: Time-Weighted Contrastive Reward Learning for Efficient Inverse Reinforcement Learning
by: Li, Yuxuan, et al.
Published: (2025)

Spatial-Temporal Reinforcement Learning for Network Routing with Non-Markovian Traffic
by: Wang, Molly, et al.
Published: (2025)

Enhancing Inverse Reinforcement Learning through Encoding Dynamic Information in Reward Shaping
by: Zhan, Simon Sinong, et al.
Published: (2024)

Generalizing Behavior via Inverse Reinforcement Learning with Closed-Form Reward Centroids
by: Lazzati, Filippo, et al.
Published: (2025)

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors
by: Ke, Jingyang, et al.
Published: (2025)

Robust Transfer Learning with Side Information
by: Awad, Akram S., et al.
Published: (2026)

Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment
by: Cai, Yuang, et al.
Published: (2024)

Inverse Reinforcement Learning from Non-Stationary Learning Agents
by: Sivakumar, Kavinayan P., et al.
Published: (2024)

Rethinking Adversarial Inverse Reinforcement Learning: Policy Imitation, Transferable Reward Recovery and Algebraic Equilibrium Proof
by: Zhang, Yangchun, et al.
Published: (2024)

IR$^3$: Contrastive Inverse Reinforcement Learning for Interpretable Detection and Mitigation of Reward Hacking
by: Beigi, Mohammad, et al.
Published: (2026)