Model-Based RL

Trust the Model Where It Trusts Itself - Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption ICML 2024 Choreographer: Learning and Adapting Skills in Imagination ICLR 2023 CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning ICLR 2023 Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization ICLR 2023 Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning ICLR 2023 Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting ICLR 2023 Efficient Offline Policy Optimization with a Learned Model ICLR 2023 Efficient Planning in a Compact Latent Action Space ICLR 2023 EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model ICLR 2023 MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations ICLR 2023 On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning ICLR 2023 Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms ICLR 2023 Planning Goals for Exploration ICLR 2023 Posterior Sampling for Deep Reinforcement Learning ICML 2023 Provable Sim-to-real Transfer in Continuous Domain with Partial Observations ICLR 2023 Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation ICLR 2023 Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective ICLR 2023 SpeedyZero: Mastering Atari with Limited Data and Time ICLR 2023 Transformers are Sample-Efficient World Models ICLR 2023 Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning ICLR 2023 Variational Latent Branching Model for Off-Policy Evaluation ICLR 2023 Accelerated Policy Learning with Parallel Differentiable Simulation ICLR 2022 AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning ICLR 2022 An Experimental Design Perspective on Model-Based Reinforcement Learning ICLR 2022 A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning ICLR 2022