conftrace_

intrinsic reward

71 papers

Explore in graph

Co-occurring keywords

reinforcement learning (4352) sparse reward (141) multi-agent reinforcement learning (538) curiosity-driven exploration (21) deep reinforcement learning (903) exploration strategy (96) reward shaping (110) exploration bonus (38) mutual information (724) unsupervised reinforcement learning (15)

Papers

Reinforcement Learning Without Explicit Rewards: Theory and Practice AAAI 2026
GeoExplorer: Active Geo-localization with Curiosity-Driven Exploration ICCV 2025
Curiosity-Driven Reinforcement Learning from Human Feedback ACL 2025
World Models with Hints of Large Language Models for Goal Achieving NAACL 2025
VCA: Video Curious Agent for Long Video Understanding ICCV 2025
Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity IJCAI 2025
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning AAAI 2025
MOSER: Learning Sensory Policy for Task-specific Viewpoint via View-conditional World Model IJCAI 2024
Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus NIPS 2024
SAEIR: Sequentially Accumulated Entropy Intrinsic Reward for Cooperative Multi-Agent Reinforcement Learning with Sparse Reward IJCAI 2024
Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning AAAI 2024
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing AAAI 2024
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization AAAI 2024
Unsupervised Object Interaction Learning with Counterfactual Dynamics Models AAAI 2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning NIPS 2024
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning AAAI 2024
Leveraging Separated World Model for Exploration in Visually Distracted Environments NIPS 2024
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning AAAI 2024
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning CORL 2023
Go Beyond Imagination: Maximizing Episodic Reachability with World Models ICML 2023
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer NIPS 2023
Iteratively Learn Diverse Strategies with State Distance Information NIPS 2023
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards IJCAI 2023
Constrained Reinforcement Learning in Hard Exploration Problems AAAI 2023
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning ICML 2023