conftrace_

entropy regularization

132 papers

Explore in graph

Co-occurring keywords

optimal transport (948) reinforcement learning (4352) policy optimization (657) sinkhorn algorithm (64) zero-sum game (190) markov decision process (790) nash equilibrium (398) policy gradient (520) semi-supervised learning (2341) entropic regularization (53)

Papers

Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration ICML 2021
On the Model-Based Stochastic Value Gradient for Continuous Reinforcement Learning L4DC 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning AISTATS 2021
Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More ICML 2021
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks CVPR 2021
Tractable Regularization of Probabilistic Circuits NIPS 2021
Cautious Actor-Critic ACML 2021
Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning ACML 2021
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization NIPS 2021
Unsupervised program synthesis for images by sampling without replacement UAI 2021
A decentralized policy gradient approach to multi-task reinforcement learning UAI 2021
Improving approximate optimal transport distances using quantization UAI 2021
Exploring Supervised and Unsupervised Rewards in Machine Translation EACL 2021
A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters JMLR 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport ICML 2021
Low-Rank Sinkhorn Factorization ICML 2021
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR 2021
Learning Collaborative Policies to Solve NP-hard Routing Problems NIPS 2021
Identifiability in inverse reinforcement learning NIPS 2021
Learning with Generated Teammates to Achieve Type-Free Ad-Hoc Teamwork IJCAI 2021
Accelerated Message Passing for Entropy-Regularized MAP Inference ICML 2020
Enhanced Transport Distance for Unsupervised Domain Adaptation CVPR 2020
AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection AAAI 2020
On the Global Convergence Rates of Softmax Policy Gradient Methods ICML 2020
MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning CVPR 2020