Deep RL

Enforcement Heuristics for Argumentation with Deep Reinforcement Learning AAAI 2022 Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments NeurIPS 2022 Enhancing Safe Exploration Using Safety State Augmentation NeurIPS 2022 EqR: Equivariant Representations for Data-Efficient Reinforcement Learning ICML 2022 Evaluation beyond Task Performance: Analyzing Concepts in AlphaZero in Hex NeurIPS 2022 Evolving Curricula with Regret-Based Environment Design ICML 2022 Experience Replay with Likelihood-free Importance Weights L4DC 2022 Explainability Via Causal Self-Talk NeurIPS 2022 Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping NeurIPS 2022 Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards NeurIPS 2022 Exploration via Elliptical Episodic Bonuses NeurIPS 2022 Exploration via Planning for Information about the Optimal Trajectory NeurIPS 2022 Exploring Safer Behaviors for Deep Reinforcement Learning AAAI 2022 Exploring the Vulnerability of Deep Reinforcement Learning-based Emergency Control for Low Carbon Power Systems IJCAI 2022 Exploring through Random Curiosity with General Value Functions NeurIPS 2022 Factored Adaptation for Non-Stationary Reinforcement Learning NeurIPS 2022 Fast and Data Efficient Reinforcement Learning from Pixels via Non-parametric Value Approximation AAAI 2022 Faster Deep Reinforcement Learning with Slower Online Network NeurIPS 2022 Fast inference and transfer of compositional task structures for few-shot task generalization UAI 2022 Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations CoRL 2022 Fast Population-Based Reinforcement Learning on a Single Machine ICML 2022 Feature and Instance Joint Selection: A Reinforcement Learning Perspective IJCAI 2022 Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling ICML 2022 Finding Fallen Objects via Asynchronous Audio-Visual Integration CVPR 2022 Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks NeurIPS 2022