Model-Based RL

Beyond No Regret: Instance-Dependent PAC Reinforcement Learning COLT 2022 Constrained Contrastive Reinforcement Learning ACML 2022 Constrained Policy Optimization via Bayesian World Models ICLR 2022 Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation AAAI 2022 Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination NeurIPS 2022 Evaluating Model-Based Planning and Planner Amortization for Continuous Control ICLR 2022 Goal-Directed Planning via Hindsight Experience Replay ICLR 2022 Gradient Information Matters in Policy Optimization by Back-propagating through Model ICLR 2022 Information Prioritization through Empowerment in Visual Model-based RL ICLR 2022 Learning Object-Oriented Dynamics for Planning from Text ICLR 2022 Learning Synthetic Environments and Reward Networks for Reinforcement Learning ICLR 2022 Model-Based Offline Meta-Reinforcement Learning with Regularization ICLR 2022 Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver ICLR 2022 On-Policy Model Errors in Reinforcement Learning ICLR 2022 Pareto Policy Pool for Model-based Offline Reinforcement Learning ICLR 2022 Planning in Stochastic Environments with a Learned Model ICLR 2022 Reinforcement Learning in Presence of Discrete Markovian Context Evolution ICLR 2022 Revisiting Design Choices in Offline Model Based Reinforcement Learning ICLR 2022 Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control COLT 2022 TRAIL: Near-Optimal Imitation Learning with Suboptimal Data ICLR 2022 Transfer RL across Observation Feature Spaces via Model-Based Regularization ICLR 2022 Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning ACML 2022 Value Gradient weighted Model-Based Reinforcement Learning ICLR 2022 Acting in Delayed Environments with Non-Stationary Markov Policies ICLR 2021 Blending MPC & Value Function Approximation for Efficient Reinforcement Learning ICLR 2021