intrinsic reward

Successor-Predecessor Intrinsic Exploration NeurIPS 2023 Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning NeurIPS 2023 AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network ACML 2022 A Mixture Of Surprises for Unsupervised Reinforcement Learning NeurIPS 2022 Anti-Concentrated Confidence Bonuses For Scalable Exploration ICLR 2022 BYOL-Explore: Exploration by Bootstrapped Prediction NeurIPS 2022 Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization ICLR 2022 EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL NeurIPS 2022 ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward NeurIPS 2022 Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards NeurIPS 2022 Exploring through Random Curiosity with General Value Functions NeurIPS 2022 Heterogeneous Skill Learning for Multi-agent Tasks NeurIPS 2022 How to Stay Curious while avoiding Noisy TVs using Aleatoric Uncertainty Estimation ICML 2022 Improving Intrinsic Exploration with Language Abstractions NeurIPS 2022 LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning ICLR 2022 Redeeming intrinsic rewards via constrained optimization NeurIPS 2022 Reward Uncertainty for Exploration in Preference-based Reinforcement Learning ICLR 2022 Unsupervised Reinforcement Learning with Contrastive Intrinsic Control NeurIPS 2022 Unsupervised Skill Discovery via Recurrent Skill Training NeurIPS 2022 Adversarial Intrinsic Motivation for Reinforcement Learning NeurIPS 2021 Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning ICML 2021 Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration NeurIPS 2021 Exploration via State influence Modeling AAAI 2021 MADE: Exploration via Maximizing Deviation from Explored Regions NeurIPS 2021 MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration ICML 2021