model-based reinforcement learning

Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts IJCAI 2021 Model-based Reinforcement Learning for Continuous Control with Posterior Sampling ICML 2021 Model-Based Reinforcement Learning for Infinite-Horizon Discounted Constrained Markov Decision Processes IJCAI 2021 Model-Based Reinforcement Learning via Imagination with Derived Memory NeurIPS 2021 Model-Based Reinforcement Learning via Latent-Space Collocation ICML 2021 Model-Based Visual Planning with Self-Supervised Functional Distances ICLR 2021 Model-Free and Model-Based Policy Evaluation when Causality is Uncertain ICML 2021 Muesli: Combining Improvements in Policy Optimization ICML 2021 Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System L4DC 2021 Neuro-algorithmic Policies Enable Fast Combinatorial Generalization ICML 2021 NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces CVPR 2021 Offline Model-based Adaptable Policy Learning NeurIPS 2021 Offline Reinforcement Learning from Images with Latent Space Models L4DC 2021 On Effective Scheduling of Model-based Reinforcement Learning NeurIPS 2021 Online and Offline Reinforcement Learning by Planning with a Learned Model NeurIPS 2021 On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning AISTATS 2021 On the Model-Based Stochastic Value Gradient for Continuous Reinforcement Learning L4DC 2021 On the role of planning in model-based deep reinforcement learning ICLR 2021 Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings NeurIPS 2021 PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration ICML 2021 PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators NeurIPS 2021 Planning from Pixels using Inverse Dynamics Models ICLR 2021 PODS: Policy Optimization via Differentiable Simulation ICML 2021 Proper Value Equivalence NeurIPS 2021 Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature NeurIPS 2021