model-based reinforcement learning

Reinforcement Learning in Parametric MDPs with Exponential Families AISTATS 2021 Representation Balancing Offline Model-based Reinforcement Learning ICLR 2021 Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation NeurIPS 2021 Robustly Learning Composable Options in Deep Reinforcement Learning IJCAI 2021 Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control ACML 2021 Robust Predictable Control NeurIPS 2021 Robust Value Iteration for Continuous Control Tasks RSS 2021 Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning CoRL 2021 Safe Reinforcement Learning by Imagining the Near Future NeurIPS 2021 Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model NeurIPS 2021 Scalable Online Planning via Reinforcement Learning Fine-Tuning NeurIPS 2021 Self-Consistent Models and Values NeurIPS 2021 Temporal Predictive Coding For Model-Based Planning In Latent Space ICML 2021 Towards tractable optimism in model-based reinforcement learning UAI 2021 Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization NeurIPS 2021 Variational Model-based Policy Optimization IJCAI 2021 Vector Quantized Models for Planning ICML 2021 Visual Adversarial Imitation Learning using Variational Models NeurIPS 2021 Weighted model estimation for offline model-based reinforcement learning NeurIPS 2021 Width-Based Algorithms for Common Problems in Control, Planning and Reinforcement Learning IJCAI 2021 World Model as a Graph: Learning Latent Landmarks for Planning ICML 2021 Actor-Double-Critic: Incorporating Model-Based Critic for Task-Oriented Dialogue Systems EMNLP 2020 Adaptive Discretization for Model-Based Reinforcement Learning NeurIPS 2020 A Game Theoretic Framework for Model Based Reinforcement Learning ICML 2020 An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies AAAI 2020