Jan Peters

XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning

Learning What to Say and How Precisely: Efficient Communication via Differentiable Discrete Communication Learning

Use the Online Network If You Can: Towards Fast and Stable Reinforcement Learning

Bridging the performance-gap between target-free and target-based reinforcement learning

APPLE: Toward General Active Perception via Reinforcement Learning

Discrete Variational Autoencoding via Policy Search

Recursive Reasoning for Sample-Efficient Multi-Agent Reinforcement Learning

Learning Hierarchical Domain Models through Environment-Grounded Interaction

Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization

Stable Port-Hamiltonian Neural Networks

DIME: Diffusion-Based Maximum Entropy Reinforcement Learning

Adaptive $Q$-Network: On-the-fly Target Selection for Deep Reinforcement Learning

Inverse decision-making using neural amortized Bayesian actors

Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation

Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization

Maximum Total Correlation Reinforcement Learning

Maximum Total Correlation Reinforcement Learning