Reinforcement Learning

PIRLNav: Pretraining With Imitation and RL Finetuning for ObjectNav CVPR 2023 Planning and Learning with Adaptive Lookahead AAAI 2023 Planning with Hidden Parameter Polynomial MDPs AAAI 2023 Policy Adaptation From Foundation Model Feedback CVPR 2023 Policy-Adaptive Estimator Selection for Off-Policy Evaluation AAAI 2023 Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes AAAI 2023 Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning AAAI 2023 Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control NeurIPS 2023 Policy Regularization with Dataset Constraint for Offline Reinforcement Learning ICML 2023 Posterior Sampling for Competitive RL: Function Approximation and Partial Observation NeurIPS 2023 Practical Contextual Bandits with Feedback Graphs NeurIPS 2023 Predictable MDP Abstraction for Unsupervised Model-Based RL ICML 2023 Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials RSS 2023 Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons ICML 2023 Prioritizing Samples in Reinforcement Learning with Reducible Loss NeurIPS 2023 Provably and Practically Efficient Neural Contextual Bandits ICML 2023 Provably Efficient Model-Free Algorithms for Non-stationary CMDPs AISTATS 2023 Provably Efficient Offline Reinforcement Learning in Regular Decision Processes NeurIPS 2023 Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources ICML 2023 Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints AAAI 2023 Provably Efficient Reinforcement Learning via Surprise Bound AISTATS 2023 Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path ICLR 2023 Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints JMLR 2023 Q-functionals for Value-Based Continuous Control AAAI 2023 Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL ICML 2023