sparse reward

Actor-Critic for Continuous Action Chunks: A Reinforcement Learning Framework for Long-Horizon Robotic Manipulation with Sparse Reward AAAI 2026 First-Order Representation Languages for Goal-Conditioned RL AAAI 2026 MangoBench: A Benchmark for Multi-Agent Goal-Conditioned Offline Reinforcement Learning CVPR 2026 Reward Redistribution via Gaussian Process Likelihood Estimation AAAI 2026 Symbolic Task Inference in Deep Reinforcement Learning (Abstract Reprint) AAAI 2026 The Sample Complexity of Multiclass and Sparse Contextual Bandits COLT 2026 TMAE:Learning Targeted Multi-Agent Exploration via Causal Inference AAAI 2026 Adaptive Reward Design for Reinforcement Learning UAI 2025 Bootstrapped Reward Shaping AAAI 2025 DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search ICLR 2025 Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations L4DC 2025 Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning AISTATS 2025 Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data AAAI 2025 Episodic Novelty Through Temporal Distance ICLR 2025 Epistemic Monte Carlo Tree Search ICLR 2025 Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning ICLR 2025 KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies ICML 2025 Learning Long-Horizon Robot Manipulation Skills via Privileged Action CoRL 2025 Learning Progress Driven Multi-Agent Curriculum ICML 2025 Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets ICLR 2025 Multi-Agent Credit Assignment with Pretrained Language Models AISTATS 2025 Offline Hierarchical Reinforcement Learning via Inverse Optimization ICLR 2025 Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning EMNLP 2025 Sparse Rewards Can Self-Train Dialogue Agents ACL 2025 Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards CVPR 2025