Deep RL

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 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 Modeling Human Exploration Through Resource-Rational Reinforcement Learning NeurIPS 2022 Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors L4DC 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 MDP Homomorphic Networks ICLR 2022 Multiagent Q-learning with Sub-Team Coordination NeurIPS 2022 Multi-Agent Reinforcement Learning is a Sequence Modeling Problem NeurIPS 2022 Multi-Constraint Deep Reinforcement Learning for Smooth Action Control IJCAI 2022 Multi-Critic Actor Learning: Teaching RL Policies to Act with Style ICLR 2022 Multi-Game Decision Transformers NeurIPS 2022 Multi-Robot Active Mapping via Neural Bipartite Graph Matching CVPR 2022 Multi-Sacle Dynamic Coding Improved Spiking Actor Network for Reinforcement Learning AAAI 2022 Multi-Stage Episodic Control for Strategic Exploration in Text Games ICLR 2022 Natural Black-Box Adversarial Examples against Deep Reinforcement Learning AAAI 2022 Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation AISTATS 2022 Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation ICML 2022 Near-Optimal Algorithms for Autonomous Exploration and Multi-Goal Stochastic Shortest Path ICML 2022 Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments NeurIPS 2022 Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback NeurIPS 2022 Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks L4DC 2022