Co-occurring keywords · papers mentioning both
Papers
Learning to Generate via Understanding: Understanding-Driven Intrinsic Rewarding for Unified Multimodal Models
CVPR 2026
Reinforcement Learning Without Explicit Rewards: Theory and Practice
AAAI 2026
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning
AAAI 2025
Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity
IJCAI 2025
Curiosity-Driven Reinforcement Learning from Human Feedback
ACL 2025
DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
ICLR 2025
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction
ICLR 2025
Episodic Novelty Through Temporal Distance
ICLR 2025
GeoExplorer: Active Geo-localization with Curiosity-Driven Exploration
ICCV 2025
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
ICLR 2025
Moral Alignment for LLM Agents
ICLR 2025
R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning
ICML 2025
Toward Efficient Multi-Agent Exploration With Trajectory Entropy Maximization
ICLR 2025
Towards Improving Exploration through Sibling Augmented GFlowNets
ICLR 2025
Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation
ICLR 2025
VCA: Video Curious Agent for Long Video Understanding
ICCV 2025
World Models with Hints of Large Language Models for Goal Achieving
NAACL 2025
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization
AAAI 2024
Effective Exploration Based on the Structural Information Principles
NeurIPS 2024
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning
AAAI 2024
Improving Intrinsic Exploration by Creating Stationary Objectives
ICLR 2024
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning
AAAI 2024
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
ICML 2024
Leveraging Mutual Information for Asymmetric Learning under Partial Observability
CoRL 2024
Leveraging Separated World Model for Exploration in Visually Distracted Environments
NeurIPS 2024