Interactive Explanations for Reinforcement-Learning Agents
Fuente:
arXiv
Saved in:
| Main Authors: | Amitai, Yotam, Amir, Ofra, Avni, Guy |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Gap the (Theory of) Mind: Sharing Beliefs About Teammates' Goals Boosts Collaboration Perception, Not Performance
by: Amitai, Yotam, et al.
Published: (2025)
by: Amitai, Yotam, et al.
Published: (2025)
Integrating Policy Summaries with Reward Decomposition for Explaining Reinforcement Learning Agents
by: Septon, Yael, et al.
Published: (2022)
by: Septon, Yael, et al.
Published: (2022)
"Trust me on this" Explaining Agent Behavior to a Human Terminator
by: Menkes, Uri, et al.
Published: (2025)
by: Menkes, Uri, et al.
Published: (2025)
Composing Reinforcement Learning Policies, with Formal Guarantees
by: Delgrange, Florent, et al.
Published: (2024)
by: Delgrange, Florent, et al.
Published: (2024)
INSIGHTS: Demonstration-Based Summaries of Time Series Predictors
by: Porat, Bar Eini, et al.
Published: (2026)
by: Porat, Bar Eini, et al.
Published: (2026)
Semifactual Explanations for Reinforcement Learning
by: Gajcin, Jasmina, et al.
Published: (2024)
by: Gajcin, Jasmina, et al.
Published: (2024)
Why the Agent Made that Decision: Contrastive Explanation Learning for Reinforcement Learning
by: Zuo, Rui, et al.
Published: (2024)
by: Zuo, Rui, et al.
Published: (2024)
Textual Explanations and Their Evaluations for Reinforcement Learning Policy
by: Terra, Ahmad, et al.
Published: (2026)
by: Terra, Ahmad, et al.
Published: (2026)
Auction-Based Scheduling
by: Avni, Guy, et al.
Published: (2023)
by: Avni, Guy, et al.
Published: (2023)
Examining the Prevalence and Dynamics of AI-Generated Media in Art Subreddits
by: Matatov, Hana, et al.
Published: (2024)
by: Matatov, Hana, et al.
Published: (2024)
TalkToAgent: A Human-centric Explanation of Reinforcement Learning Agents with Large Language Models
by: Kim, Haechang, et al.
Published: (2025)
by: Kim, Haechang, et al.
Published: (2025)
Experiential Explanations for Reinforcement Learning
by: Alabdulkarim, Amal, et al.
Published: (2022)
by: Alabdulkarim, Amal, et al.
Published: (2022)
On Generating Explanations for Reinforcement Learning Policies: An Empirical Study
by: Yuasa, Mikihisa, et al.
Published: (2023)
by: Yuasa, Mikihisa, et al.
Published: (2023)
Do LLMs Follow Their Own Rules? A Reflexive Audit of Self-Stated Safety Policies
by: Mittal, Avni
Published: (2026)
by: Mittal, Avni
Published: (2026)
Did You Forget What I Asked? Prospective Memory Failures in Large Language Models
by: Mittal, Avni
Published: (2026)
by: Mittal, Avni
Published: (2026)
Workflows vs Agents for Code Translation
by: Gray, Henry, et al.
Published: (2025)
by: Gray, Henry, et al.
Published: (2025)
Reinforcement Learning for Long-Horizon Interactive LLM Agents
by: Chen, Kevin, et al.
Published: (2025)
by: Chen, Kevin, et al.
Published: (2025)
Rule-Bottleneck Reinforcement Learning: Joint Explanation and Decision Optimization for Resource Allocation with Language Agents
by: Tec, Mauricio, et al.
Published: (2025)
by: Tec, Mauricio, et al.
Published: (2025)
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities
by: Gajcin, Jasmina, et al.
Published: (2022)
by: Gajcin, Jasmina, et al.
Published: (2022)
End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations
by: Luo, Lirui, et al.
Published: (2024)
by: Luo, Lirui, et al.
Published: (2024)
Counterfactual Explanations for Continuous Action Reinforcement Learning
by: Dong, Shuyang, et al.
Published: (2025)
by: Dong, Shuyang, et al.
Published: (2025)
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach
by: Hu, Bin, et al.
Published: (2023)
by: Hu, Bin, et al.
Published: (2023)
Unsupervised Representation Learning - an Invariant Risk Minimization Perspective
by: Norman, Yotam, et al.
Published: (2025)
by: Norman, Yotam, et al.
Published: (2025)
C2-Faith: Benchmarking LLM Judges for Causal and Coverage Faithfulness in Chain-of-Thought Reasoning
by: Mittal, Avni, et al.
Published: (2026)
by: Mittal, Avni, et al.
Published: (2026)
TREX: Trajectory Explanations for Multi-Objective Reinforcement Learning
by: Rajapakse, Dilina, et al.
Published: (2026)
by: Rajapakse, Dilina, et al.
Published: (2026)
Why Reinforcement Learning in Energy Systems Needs Explanations
by: Butt, Hallah Shahid, et al.
Published: (2024)
by: Butt, Hallah Shahid, et al.
Published: (2024)
Training Interactive Agent in Large FPS Game Map with Rule-enhanced Reinforcement Learning
by: Zhang, Chen, et al.
Published: (2024)
by: Zhang, Chen, et al.
Published: (2024)
Bidding Games on Markov Decision Processes with Quantitative Reachability Objectives
by: Avni, Guy, et al.
Published: (2024)
by: Avni, Guy, et al.
Published: (2024)
Causal Reinforcement Learning based Agent-Patient Interaction with Clinical Domain Knowledge
by: Zhao, Wenzheng, et al.
Published: (2025)
by: Zhao, Wenzheng, et al.
Published: (2025)
Representation-Driven Reinforcement Learning
by: Nabati, Ofir, et al.
Published: (2023)
by: Nabati, Ofir, et al.
Published: (2023)
The Terminal Representation in Reinforcement Learning
by: Esterhuysen, Amir, et al.
Published: (2026)
by: Esterhuysen, Amir, et al.
Published: (2026)
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
by: Liu, Shunyu, et al.
Published: (2022)
by: Liu, Shunyu, et al.
Published: (2022)
Exploration in Knowledge Transfer Utilizing Reinforcement Learning
by: Jedlička, Adam, et al.
Published: (2024)
by: Jedlička, Adam, et al.
Published: (2024)
Integrating Reinforcement Learning and AI Agents for Adaptive Robotic Interaction and Assistance in Dementia Care
by: Yuan, Fengpei, et al.
Published: (2025)
by: Yuan, Fengpei, et al.
Published: (2025)
Interactive Dialogue Agents via Reinforcement Learning on Hindsight Regenerations
by: Hong, Joey, et al.
Published: (2024)
by: Hong, Joey, et al.
Published: (2024)
Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning
by: Weiwei, Liu, et al.
Published: (2024)
by: Weiwei, Liu, et al.
Published: (2024)
Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning
by: Lee, Sunwoo, et al.
Published: (2026)
by: Lee, Sunwoo, et al.
Published: (2026)
Measurement Simplification in ρ-POMDP with Performance Guarantees
by: Yotam, Tom, et al.
Published: (2023)
by: Yotam, Tom, et al.
Published: (2023)
ELT-Bench-Verified: Benchmark Quality Issues Underestimate AI Agent Capabilities
by: Zanoli, Christopher, et al.
Published: (2026)
by: Zanoli, Christopher, et al.
Published: (2026)
RLIF: Interactive Imitation Learning as Reinforcement Learning
by: Luo, Jianlan, et al.
Published: (2023)
by: Luo, Jianlan, et al.
Published: (2023)
Similar Items
-
Gap the (Theory of) Mind: Sharing Beliefs About Teammates' Goals Boosts Collaboration Perception, Not Performance
by: Amitai, Yotam, et al.
Published: (2025) -
Integrating Policy Summaries with Reward Decomposition for Explaining Reinforcement Learning Agents
by: Septon, Yael, et al.
Published: (2022) -
"Trust me on this" Explaining Agent Behavior to a Human Terminator
by: Menkes, Uri, et al.
Published: (2025) -
Composing Reinforcement Learning Policies, with Formal Guarantees
by: Delgrange, Florent, et al.
Published: (2024) -
INSIGHTS: Demonstration-Based Summaries of Time Series Predictors
by: Porat, Bar Eini, et al.
Published: (2026)