Robust Deep Reinforcement Learning through Adversarial Loss
- Tuomas Oikarinen
- Wang Zhang
- et al.
- 2021
- NeurIPS 2021
Conference paper
Publications
98 results at NeurIPS 2021
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
- Aadarsh Sahoo
- Rutav Shah
- et al.
- 2021
- NeurIPS 2021
Conference paperSafe Policy Optimization with Local Generalized Linear Function Approximations
- Akifumi Wachi
- Yunyue Wei
- et al.
- 2021
- NeurIPS 2021
Conference paperLearning with Algorithmic Supervision via Continuous Relaxations
- Felix Petersen
- Christian Borgelt
- et al.
- 2021
- NeurIPS 2021
Conference paperA Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
- Kai Xu
- Akash Srivastava
- et al.
- 2021
- NeurIPS 2021
Conference paperTargeted Neural Dynamical Modeling
- Cole Hurwitz
- Akash Srivastava
- et al.
- 2021
- NeurIPS 2021
Conference paperUnderstanding Interlocking Dynamics of Cooperative Rationalization
- Mo Yu
- Yang Zhang
- et al.
- 2021
- NeurIPS 2021
Conference paperDynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
- Mingyu Ding
- Zhenfang Chen
- et al.
- 2021
- NeurIPS 2021
Conference paperAsymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models
- Kohei Miyaguchi
- 2021
- NeurIPS 2021
Conference paperCapacity and Bias of Learned Geometric Embeddings for Directed Graphs
- Michael Boratko
- Dongxu Zhang
- et al.
- 2021
- NeurIPS 2021
Conference paper