Deep RL

SeeA*: Efficient Exploration-Enhanced A* Search by Selective Sampling NeurIPS 2024 Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL NeurIPS 2024 Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic ICML 2024 Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks (Extended Abstract) IJCAI 2024 Settling the sample complexity of online reinforcement learning COLT 2024 SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning ICML 2024 Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies COLING 2024 SHINE: Shielding Backdoors in Deep Reinforcement Learning ICML 2024 Simplifying Latent Dynamics with Softly State-Invariant World Models NeurIPS 2024 Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint) AAAI 2024 SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning ICML 2024 SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions NeurIPS 2024 Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning ICLR 2024 Skill or Luck? Return Decomposition via Advantage Functions ICLR 2024 Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks ICML 2024 SMuCo: Reinforcement Learning for Visual Control via Sequential Multi-view Total Correlation UAI 2024 Solving Minimum-Cost Reach Avoid using Reinforcement Learning NeurIPS 2024 Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization AAAI 2024 Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NeurIPS 2024 Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs NeurIPS 2024 Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation AAAI 2024 Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees NeurIPS 2024 Speculative Monte-Carlo Tree Search NeurIPS 2024 SPO: Sequential Monte Carlo Policy Optimisation NeurIPS 2024 STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning AAAI 2024