Methods

Mismatched No More: Joint Model-Policy Optimization for Model-Based RL NeurIPS 2022 MoCoDA: Model-based Counterfactual Data Augmentation NeurIPS 2022 Model-augmented Prioritized Experience Replay ICLR 2022 Model-based Lifelong Reinforcement Learning with Bayesian Exploration NeurIPS 2022 Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search ICML 2022 Model-Based Offline Meta-Reinforcement Learning with Regularization ICLR 2022 Model-Based Offline Planning with Trajectory Pruning IJCAI 2022 Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief NeurIPS 2022 Model-Based Opponent Modeling NeurIPS 2022 Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity NeurIPS 2022 Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm NeurIPS 2022 Model-free Policy Learning with Reward Gradients AISTATS 2022 Modeling Human Exploration Through Resource-Rational Reinforcement Learning NeurIPS 2022 Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors L4DC 2022 Modeling Strong and Human-Like Gameplay with KL-Regularized Search ICML 2022 Modelling the Dynamics of Multi-Agent Q-learning: The Stochastic Effects of Local Interaction and Incomplete Information IJCAI 2022 Model Selection in Batch Policy Optimization ICML 2022 Model-Value Inconsistency as a Signal for Epistemic Uncertainty ICML 2022 Modular Lifelong Reinforcement Learning via Neural Composition ICLR 2022 Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations NeurIPS 2022 Multi-Agent Concentrative Coordination with Decentralized Task Representation IJCAI 2022 Multi-agent Dynamic Algorithm Configuration NeurIPS 2022 Multi-Agent Incentive Communication via Decentralized Teammate Modeling AAAI 2022 Multi-Agent MDP Homomorphic Networks ICLR 2022 Multi-Agent Multi-Armed Bandits with Limited Communication JMLR 2022