exploration strategy

Active Reasoning in an Open-World Environment NeurIPS 2023 Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback CoRL 2023 CT-DQN: Control-Tutored Deep Reinforcement Learning L4DC 2023 Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling ICML 2023 Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization ICML 2023 Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical Multi-Step Approach for Policy Training IJCAI 2023 Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference AISTATS 2023 Incremental Reinforcement Learning with Dual-Adaptive ε-Greedy Exploration AAAI 2023 LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework ICML 2023 Model-Based Uncertainty in Value Functions AISTATS 2023 Multiplier Bootstrap-based Exploration ICML 2023 Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning CoRL 2023 Online Learning with Feedback Graphs: The True Shape of Regret ICML 2023 Successor-Predecessor Intrinsic Exploration NeurIPS 2023 Active Hierarchical Exploration with Stable Subgoal Representation Learning ICLR 2022 Automatic Exploration of Textual Environments with Language-Conditioned Autotelic Agents NAACL 2022 Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games ACL 2022 Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs NeurIPS 2022 Regret Bounds for Information-Directed Reinforcement Learning NeurIPS 2022 Regret Minimization with Performative Feedback ICML 2022 Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems AISTATS 2022 Unsupervised Reinforcement Learning in Multiple Environments AAAI 2022 When should agents explore? ICLR 2022 A Provably Efficient Sample Collection Strategy for Reinforcement Learning NeurIPS 2021 Deep Coherent Exploration for Continuous Control ICML 2021