Deep RL

AlphaSnake: Policy Iteration on a Nondeterministic NP-Hard Markov Decision Process (Student Abstract) AAAI 2023 A Meta-Reinforcement Learning Algorithm for Causal Discovery CLeaR 2023 A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints ICML 2023 An effective negotiating agent framework based on deep offline reinforcement learning UAI 2023 An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games AAAI 2023 An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations IJCAI 2023 A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence NeurIPS 2023 Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract) AAAI 2023 Anti-Exploration by Random Network Distillation ICML 2023 Approximate Thompson Sampling via Epistemic Neural Networks UAI 2023 A Pragmatic Look at Deep Imitation Learning ACML 2023 A Risk-Sensitive Approach to Policy Optimization AAAI 2023 A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs ICML 2023 A Tale of Sampling and Estimation in Discounted Reinforcement Learning AISTATS 2023 Augmented Proximal Policy Optimization for Safe Reinforcement Learning AAAI 2023 A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process NeurIPS 2023 A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games ICLR 2023 A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning JMLR 2023 AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning AAAI 2023 Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning ICML 2023 Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis EMNLP 2023 Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms IJCAI 2023 BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning ACML 2023 Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback NeurIPS 2023 Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes AAAI 2023