ast0414 / pointer-networks-pytorch
Implementation of Pointer Networks using PyTorch
☆62Updated last year
Alternatives and similar repositories for pointer-networks-pytorch:
Users that are interested in pointer-networks-pytorch are comparing it to the libraries listed below
- Pytorch implementation of Pointer Network☆332Updated 6 years ago
- Pointer Networks is a new neural architecture to learn the conditional probability of an output sequence with elements that are discrete …☆74Updated 3 years ago
- Pointer NN differs from the previous attention attempts in that, instead of using attention to weight hidden units of an encoder, it uses…☆42Updated 3 years ago
- ☆163Updated 5 years ago
- Pointer Networks Implementation in Keras☆154Updated 2 years ago
- Learning to Perform Local Rewriting for Combinatorial Optimization☆150Updated 5 years ago
- PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940☆577Updated 6 years ago
- "Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver☆175Updated 3 years ago
- ☆35Updated 5 years ago
- Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".☆80Updated 4 years ago
- Tensorflow implementation of an Actor Critic algorithm using a Pointer Network to solve the TSP (algorithm from Neural Combinatorial Opti…☆44Updated 7 years ago
- ☆30Updated 7 years ago
- The submission template for the Learning to Dispatch and Reposition Competition @ KDD2020.☆85Updated 3 years ago
- ☆37Updated 5 years ago
- Task-oriented Dialog Policy Learning with Multi-Agent Reinforcement Learning☆56Updated 4 years ago
- Implementation of Stochastic Beam Search using Fairseq☆102Updated 5 years ago
- Hierarchical deep reinforcement learning for combinatorial optimization problem☆35Updated 5 years ago
- DGN Code☆347Updated 2 years ago
- Code for TSP Transformer☆183Updated 4 years ago
- Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search☆154Updated 7 months ago
- ☆131Updated 2 years ago
- Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…☆66Updated 2 years ago
- very easy implementation of dueling DQN in pytorch☆71Updated 2 years ago
- pytorch neural combinatorial optimization☆383Updated 7 years ago
- Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning☆151Updated 6 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆82Updated 7 years ago
- Adaptive Attention Span for Reinforcement Learning☆133Updated 4 years ago
- Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)☆33Updated 4 years ago
- ☆24Updated 2 years ago
- PyTorch Implementation of REINFORCE for both discrete & continuous control☆265Updated 8 years ago