floodsung / meta-critic-networks
Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning
☆56Updated 6 years ago
Alternatives and similar repositories for meta-critic-networks:
Users that are interested in meta-critic-networks are comparing it to the libraries listed below
- Ape-X DQN & DDPG with pytorch & tensorboard☆103Updated 5 years ago
- Code for paper "Episodic Memory Deep Q-Networks" (https://arxiv.org/abs/1805.07603), IJCAI 2018☆62Updated 6 years ago
- Meta Reinforcement Learning Experiments☆33Updated 7 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 6 years ago
- ☆43Updated 8 months ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- ☆66Updated 4 years ago
- Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization☆44Updated 6 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆48Updated 5 years ago
- advantage actor-critic reinforcement learning for openai gym cartpole☆64Updated 7 years ago
- PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch☆114Updated 7 years ago
- Hierarchical Deep RL Network☆31Updated 7 years ago
- Upper Confidence Tree Planner for ATARI games☆19Updated 8 years ago
- Tensorflow implementation of BootstrappedDQN using OpenAI baselines☆19Updated 4 years ago
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆34Updated 3 years ago
- Code for "Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight"☆78Updated 7 years ago
- Implementation of SNAIL(A Simple Neural Attentive Meta-Learner) with Gluon☆12Updated 5 years ago
- Distributed implementation of popular evolutionary methods☆64Updated 7 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆79Updated 6 years ago
- ☆60Updated 6 years ago
- ☆30Updated 2 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆33Updated 5 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆92Updated 6 years ago
- Modified tensorflow implementation of 'Asynchronous Methods for Deep Reinforcement Learning'☆21Updated 8 years ago
- FEN Code☆37Updated 5 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆96Updated 6 years ago
- PyTorch implementation of the Value Iteration Networks (VIN) (NIPS '16 best paper)☆80Updated 7 years ago
- Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization☆32Updated 4 years ago
- Assignments for CS294-112 Fall2018 in Pytorch☆63Updated 6 years ago