Jan Peters

Latest

• On the benefit of optimal transport for curriculum reinforcement learning
• Curriculum reinforcement learning via constrained optimal transport
• Boosted Curriculum Reinforcement Learning
• Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning
• A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning
• Convex Regularization in Monte-Carlo Tree Search
• Self-Paced Deep Reinforcement Learning
• Generalized Mean Estimation in Monte-Carlo Tree Search
• Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement
• Probabilistic approach to physical object disentangling
• Compatible natural gradient policy search
• Projections for Approximate Policy Iteration Algorithms
• Learning Intention Aware Online Adaptation of Movement Primitives
• An Algorithmic Perspective on Imitation Learning
• Hybrid Control Trajectory Optimization under Uncertainty