2024
Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning
IROS 2024poster
Interacting with the actual environment to acquire data is often costly and time-consuming in robotic tasks. Model-based offline reinforcement learning (RL) provides a feasible solution. On the one hand, it eliminates the requirements of interaction with the actual environment. On the other hand, it…