Reinforcement Learning

Emergent Social Learning via Multi-agent Reinforcement Learning ICML 2021 Emphatic Algorithms for Deep Reinforcement Learning ICML 2021 Encoding Human Domain Knowledge to Warm Start Reinforcement Learning AAAI 2021 Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning L4DC 2021 Explicable Reward Design for Reinforcement Learning Agents NeurIPS 2021 Exploiting Reasoning Chains for Multi-hop Science Question Answering EMNLP 2021 Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework AAAI 2021 Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models AISTATS 2021 Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning NeurIPS 2021 Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL ICML 2021 Fast active learning for pure exploration in reinforcement learning ICML 2021 Fast Algorithms for L_∞-constrained S-rectangular Robust MDPs NeurIPS 2021 Feedback Attribution for Counterfactual Bandit Learning in Multi-Domain Spoken Language Understanding EMNLP 2021 Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators NeurIPS 2021 Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning AISTATS 2021 First-Order Methods for Wasserstein Distributionally Robust MDP ICML 2021 GaussianPath:A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning AAAI 2021 Generalizable Episodic Memory for Deep Reinforcement Learning ICML 2021 Generalization in Text-based Games via Hierarchical Reinforcement Learning EMNLP 2021 Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances AAAI 2021 Generalized Linear Bandits with Local Differential Privacy NeurIPS 2021 Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning EMNLP 2021 Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning ACML 2021 GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling AAAI 2021 Goal-Conditioned Reinforcement Learning with Imagined Subgoals ICML 2021