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Model-Based RL

43 papers

Papers per year

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Papers

MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning AAAI 2025
StableToolBench-MirrorAPI: Modeling Tool Environments as Mirrors of 7,000+ Real-World APIs ACL 2025
Simplifying Latent Dynamics with Softly State-Invariant World Models NIPS 2024
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning NIPS 2024
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning NIPS 2024
Thinker: Learning to Plan and Act NIPS 2023
Multi-Step Generalized Policy Improvement by Leveraging Approximate Models NIPS 2023
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning AAAI 2023
Planning and Learning for Non-markovian Negative Side Effects Using Finite State Controllers AAAI 2023
Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models EMNLP 2023
Posterior Sampling for Deep Reinforcement Learning ICML 2023
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning NIPS 2022
A Unified Framework for Alternating Offline Model Training and Policy Learning NIPS 2022
MoCoDA: Model-based Counterfactual Data Augmentation NIPS 2022
Pareto Set Learning for Expensive Multi-Objective Optimization NIPS 2022
Approximate Value Equivalence NIPS 2022
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic AAAI 2022
Learning Probably Approximately Complete and Safe Action Models for Stochastic Worlds AAAI 2022
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search ICML 2022
Weighted model estimation for offline model-based reinforcement learning NIPS 2021
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators NIPS 2021
Minimax Model Learning AISTATS 2021
Generalized Hidden Parameter MDPs:Transferable Model-Based RL in a Handful of Trials AAAI 2020
Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal AAAI 2020
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization AAAI 2020