261 citations · 823 across the 12 of their papers we have counts for
3 papers · 1 filter
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning
Younggyo Seo, Kimin Lee, Ignasi Clavera +3
Model-based reinforcement learning (RL) has shown great potential in various control tasks in terms of both sample-efficiency and final performance. However, learning a generalizab…
Mutual Information Maximization for Robust Plannable Representations
Yiming Ding, Ignasi Clavera, Pieter Abbeel
Extending the capabilities of robotics to real-world complex, unstructured environments requires the need of developing better perception systems while maintaining low sample compl…
Model-Augmented Actor-Critic: Backpropagating through Paths
Ignasi Clavera, Violet Fu, Pieter Abbeel
Current model-based reinforcement learning approaches use the model simply as a learned black-box simulator to augment the data for policy optimization or value function learning.…