Reinforcement Learning

EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning ACML 2024 Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals NeurIPS 2024 Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking NeurIPS 2024 Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning ICLR 2024 Exploration via linearly perturbed loss minimisation AISTATS 2024 Federated Q-Learning: Linear Regret Speedup with Low Communication Cost ICLR 2024 Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning ICLR 2024 Finite-Time Analysis of Three-Timescale Constrained Actor-Critic and Constrained Natural Actor-Critic Algorithms. UAI 2024 Flipping-based Policy for Chance-Constrained Markov Decision Processes NeurIPS 2024 Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning AAAI 2024 Functional Wasserstein Variational Policy Optimization UAI 2024 Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations ICLR 2024 Generalized constraint for probabilistic safe reinforcement learning L4DC 2024 Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search NeurIPS 2024 Genetic-guided GFlowNets for Sample Efficient Molecular Optimization NeurIPS 2024 Goal-Conditioned On-Policy Reinforcement Learning NeurIPS 2024 Goodhart's Law in Reinforcement Learning ICLR 2024 Growing Q-networks: Solving continuous control tasks with adaptive control resolution L4DC 2024 Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning AAAI 2024 Hindsight PRIORs for Reward Learning from Human Preferences ICLR 2024 How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach NeurIPS 2024 Human-Guided Moral Decision Making in Text-Based Games AAAI 2024 Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search UAI 2024 Identifying Policy Gradient Subspaces ICLR 2024 Illusory Attacks: Information-theoretic detectability matters in adversarial attacks ICLR 2024