[2020] Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
[2023] Language to Rewards for Robotic Skill Synthesis
[2023] Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning
[2023] Eureka: Human-Level Reward Design via Coding Large Language Models
[2024] DrEureka: Language Model Guided Sim-To-Real Transfer
[2024] Natural Language Can Help Bridge the Sim2Real Gap
[2020] Self-Paced Deep Reinforcement Learning
[2022] Curriculum reinforcement learning via constrained optimal transport
[2022] Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
[2023] Reward-Machine-Guided, Self-Paced Reinforcement Learning
[2017] Fast Model Identification via Physics Engines for Data-Efficient Policy Search
[2018] Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
[2020] Dynamics Randomization Revisited:A Case Study for Quadrupedal Locomotion
[2018] Policy Transfer with Strategy Optimization
[2019] Solving Rubik's Cube with a Robot Hand
[2019] Learning Domain Randomization Distributions for Training Robust Locomotion Policies
[2021] Understanding Domain Randomization for Sim-to-real Transfer
[2022] Online vs. Offline Adaptive Domain Randomization Benchmark
[2023] DROPO: Sim-to-Real Transfer with Offline Domain Randomization
[2024] Domain Randomization via Entropy Maximization
[2023] NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields