sparse reward

World Models with Hints of Large Language Models for Goal Achieving NAACL 2025 Zero-Inflated Bandits ICML 2025 Accelerating Visual Sparse-Reward Learning with Latent Nearest-Demonstration-Guided Explorations CoRL 2024 Adaptive teaching in heterogeneous agents: Balancing surprise in sparse reward scenarios L4DC 2024 Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft CVPR 2024 Blending Imitation and Reinforcement Learning for Robust Policy Improvement ICLR 2024 Cluster-Based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract) AAAI 2024 DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing ICLR 2024 DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks ICLR 2024 Enhanced DouDiZhu Card Game Strategy Using Oracle Guiding and Adaptive Deep Monte Carlo Method IJCAI 2024 Exploring Beyond Curiosity Rewards: Language-Driven Exploration in RL ACML 2024 Improving Intrinsic Exploration by Creating Stationary Objectives ICLR 2024 Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning ICML 2024 Learning from Sparse Offline Datasets via Conservative Density Estimation ICLR 2024 Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient NeurIPS 2024 Learning World Models for Unconstrained Goal Navigation NeurIPS 2024 Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks IJCAI 2024 Potential-Based Reward Shaping for Intrinsic Motivation (Student Abstract) AAAI 2024 RobotKeyframing: Learning Locomotion with High-Level Objectives via Mixture of Dense and Sparse Rewards CoRL 2024 SAEIR: Sequentially Accumulated Entropy Intrinsic Reward for Cooperative Multi-Agent Reinforcement Learning with Sparse Reward IJCAI 2024 Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks (Extended Abstract) IJCAI 2024 Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing AAAI 2024 STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning AAAI 2024 Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning NeurIPS 2024 Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation AAAI 2024