Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning
☆57Apr 3, 2018Updated 7 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A simple RNN meta-learner☆10Dec 17, 2018Updated 7 years ago
- Tensorflow implementation of SNAIL and RL2☆11Aug 17, 2019Updated 6 years ago
- DQV-Learning: a novel faster synchronous Deep Reinforcement Learning algorithm☆24Feb 15, 2023Updated 3 years ago
- using information theory to encourage agents to cooperate and compete☆19Oct 4, 2018Updated 7 years ago
- A chainer implementation of Memory Augmented Neural Network☆48Jul 15, 2016Updated 9 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Reproducing Policy Distillation (DeepMind paper ICLR 2016)☆22Feb 17, 2020Updated 6 years ago
- Source code of "Variational Imitation Learning with Diverse-quality Demonstrations" in ICML 2020. This github repository includes python …☆20Aug 16, 2021Updated 4 years ago
- Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆664Jan 19, 2023Updated 3 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Apr 28, 2019Updated 6 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆25Jan 15, 2022Updated 4 years ago
- Active Learning with Partial Feedback, ICLR 2019☆11Apr 27, 2020Updated 5 years ago
- Deep Reinforcement Learning by using Phasic Policy Gradient in Pytorch & Tensorflow☆20Oct 5, 2021Updated 4 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆99Apr 17, 2018Updated 7 years ago
- Mind-aware Multi-agent Management Reinforcement Learning☆81Mar 6, 2019Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,719Jan 19, 2020Updated 6 years ago
- Code for training policies based on paper Coordinated Multi-Agent Imitation Learning☆26Aug 7, 2017Updated 8 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Jan 19, 2023Updated 3 years ago
- ppo-lstm-parallel☆49Mar 26, 2019Updated 7 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26May 5, 2020Updated 5 years ago
- meta-learning research☆159Jul 31, 2021Updated 4 years ago
- This course introduced me to three cutting-edge technologies for privacy-preserving AI: Federated Learning, Differential Privacy, and Enc…☆11Sep 2, 2019Updated 6 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Feb 12, 2018Updated 8 years ago
- Exploring algorithms in the domain of offline reinforcement learning (REM, Ensemble-DQN, DQN, ...)☆17Jul 7, 2020Updated 5 years ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- An implementation of deep reinforcement learning TD3 algorithm with prioritized experience replay (PER) buffer☆24Aug 14, 2019Updated 6 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆877Dec 27, 2022Updated 3 years ago
- Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning☆2,658Nov 26, 2018Updated 7 years ago
- Inverse Reinforcement learning proof-of-concept using the Guided Cost/Reward Learning approach☆10Mar 23, 2020Updated 6 years ago
- OpenCL Inference Engine for pytorch☆51Jan 13, 2018Updated 8 years ago
- Meta Reinforcement Learning Experiments☆35Aug 22, 2017Updated 8 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62May 6, 2019Updated 6 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆155Sep 22, 2017Updated 8 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆189Mar 21, 2019Updated 7 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- This is the implementation of the CULP classification algorithm. The paper introducing this algorithm - `Classification Using Link Predic…☆13Jun 17, 2024Updated last year
- Scalable Multi-Agent Reinforcement Learning☆15Dec 25, 2021Updated 4 years ago
- [NeurIPS'20] Code for the paper "Offline Imitation Learning with a Misspecified Simulator"☆12Nov 24, 2021Updated 4 years ago
- Repository for our ICML 2019 paper: Curiosity-Bottleneck☆34Nov 21, 2022Updated 3 years ago
- ☆43Jan 9, 2024Updated 2 years ago
- Author's PyTorch implementation of paper "Provably Good Batch Reinforcement Learning Without Great Exploration"☆11Oct 22, 2020Updated 5 years ago
- PyTorch implementation of "Sample-efficient Imitation Learning via Generative Adversarial Nets"☆10Nov 22, 2019Updated 6 years ago