Reinforcement Learning

Robust Reinforcement Learning on State Observations with Learned Optimal Adversary ICLR 2021 Sample Efficient Reinforcement Learning with REINFORCE AAAI 2021 Scalable Online Planning via Reinforcement Learning Fine-Tuning NeurIPS 2021 Self-correcting Q-learning AAAI 2021 Self-Supervised Policy Adaptation during Deployment ICLR 2021 Sequential Generative Exploration Model for Partially Observable Reinforcement Learning AAAI 2021 SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark NeurIPS 2021 SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments ICLR 2021 Solving Compositional Reinforcement Learning Problems via Task Reduction ICLR 2021 Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning NeurIPS 2021 Successor Feature Sets: Generalizing Successor Representations Across Policies AAAI 2021 Symmetry-Aware Actor-Critic for 3D Molecular Design ICLR 2021 Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks AAAI 2021 Temporally-Extended ε-Greedy Exploration ICLR 2021 The Sample Complexity of Teaching by Reinforcement on Q-Learning AAAI 2021 Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning AAAI 2021 Towards Sample Efficient Agents through Algorithmic Alignment (Student Abstract) AAAI 2021 TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments AAAI 2021 Two steps to risk sensitivity NeurIPS 2021 Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach AAAI 2021 Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation NeurIPS 2021 Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation NeurIPS 2021 Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach CVPR 2021 Variance Penalized On-Policy and Off-Policy Actor-Critic AAAI 2021 Visual Navigation With Spatial Attention CVPR 2021