reward-free learning

A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals ICLR 2025 Near-Optimal Sample Complexity in Reward-Free Kernel-based Reinforcement Learning AISTATS 2025 Offline Multitask Representation Learning for Reinforcement Learning NeurIPS 2024 Text-Aware Diffusion for Policy Learning NeurIPS 2024 Nearly Optimal Latent State Decoding in Block MDPs AISTATS 2023 The Wisdom of Hindsight Makes Language Models Better Instruction Followers ICML 2023 Unsupervised Behavior Extraction via Random Intent Priors NeurIPS 2023 Provable Benefit of Multitask Representation Learning in Reinforcement Learning NeurIPS 2022 Adversarial Option-Aware Hierarchical Imitation Learning ICML 2021 Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework AAAI 2021 Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration NeurIPS 2020 Unsupervised Visuomotor Control through Distributional Planning Networks RSS 2019