conftrace_

exploration strategy

96 papers

Explore in graph

Co-occurring keywords

reinforcement learning (4352) deep reinforcement learning (903) regret bound (1926) sparse reward (141) markov decision process (790) continuous control (246) intrinsic reward (71) multi-armed bandit (1098) regret minimization (315) online learning (1777)

Papers

Enhancing Exploration and Exploitation in Hierarchical Reinforcement Learning with Subgoal Graph Learning AAAI 2026
DyBBT: Dynamic Balance via Bandit-inspired Targeting for Dialog Policy with Cognitive Dual Systems ACL 2026
Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets AAAI 2026
Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering ICCV 2025
Entropy-based Exploration Conduction for Multi-step Reasoning ACL 2025
Active Perception Meets Rule-Guided RL: A Two-Phase Approach for Precise Object Navigation in Complex Environments ICCV 2025
DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models AAAI 2025
Explorer: Scaling Exploration-driven Web Trajectory Synthesis for Multimodal Web Agents ACL 2025
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems ACL 2025
Robust exploration with adversary via Langevin Monte Carlo L4DC 2024
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning AAAI 2024
First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs NIPS 2024
Leveraging Separated World Model for Exploration in Visually Distracted Environments NIPS 2024
Exploration by Learning Diverse Skills through Successor State Representations NIPS 2024
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NIPS 2024
FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning AAAI 2024
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024
On Weak Regret Analysis for Dueling Bandits NIPS 2024
Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling AAAI 2024
Beyond Optimism: Exploration With Partially Observable Rewards NIPS 2024
Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration NIPS 2024
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback CORL 2023
Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning CORL 2023
LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework ICML 2023
Incremental Reinforcement Learning with Dual-Adaptive ε-Greedy Exploration AAAI 2023