Implementation of Meta-RL A3C algorithm
☆407Feb 22, 2017Updated 9 years ago
Alternatives and similar repositories for Meta-RL
Users that are interested in Meta-RL 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
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,279Feb 12, 2019Updated 7 years ago
- Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforc…☆60Mar 28, 2019Updated 7 years ago
- Asynchronous Methods for Deep Reinforcement Learning☆588Aug 9, 2018Updated 7 years ago
- Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆665Jan 19, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆878Dec 27, 2022Updated 3 years ago
- The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.☆37Mar 28, 2019Updated 7 years ago
- Reinforcement learning with unsupervised auxiliary tasks☆423Feb 13, 2019Updated 7 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,479Dec 7, 2022Updated 3 years ago
- TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper☆551Mar 7, 2019Updated 7 years ago
- Tutorial & scripts to run a meta-rl model on DeepMind Lab's Harlow task environment.☆15Mar 28, 2019Updated 7 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆506Dec 1, 2022Updated 3 years ago
- Tensorflow implementation of "The Predictron: End-To-End Learning and Planning"☆291Jan 20, 2017Updated 9 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆248Sep 30, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,054Jun 10, 2023Updated 2 years ago
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆662Feb 25, 2020Updated 6 years ago
- Model-Free Episodic Control☆14Jan 12, 2017Updated 9 years ago
- Modified tensorflow implementation of 'Asynchronous Methods for Deep Reinforcement Learning'☆21Dec 15, 2016Updated 9 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆155Sep 22, 2017Updated 8 years ago
- TensorFlow implementation of Deep Reinforcement Learning papers☆1,585Jun 4, 2018Updated 7 years ago
- ☆27Oct 10, 2020Updated 5 years ago
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆81Nov 22, 2017Updated 8 years ago
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆57Aug 25, 2017Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"☆1,007Mar 18, 2018Updated 8 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Apr 28, 2019Updated 6 years ago
- Implementations of deep RL papers and random experimentation☆178Apr 7, 2018Updated 8 years ago
- A list of deep neural network architectures for reinforcement learning tasks.☆174Aug 9, 2016Updated 9 years ago
- A starter agent that can solve a number of universe environments.☆1,104Apr 7, 2018Updated 8 years ago
- Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)☆408Feb 25, 2017Updated 9 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆437Nov 28, 2023Updated 2 years ago
- Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conferen…☆277Jan 16, 2020Updated 6 years ago
- A3C LSTM Atari with Pytorch plus A3G design☆568Apr 18, 2023Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,723Jan 19, 2020Updated 6 years ago
- Implimentation of the Model Free Episodic Control paper by Deep Mind : http://arxiv.org/abs/1606.04460☆52Jul 25, 2016Updated 9 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆80Jan 5, 2019Updated 7 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆731Nov 22, 2018Updated 7 years ago
- Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"☆348Nov 22, 2018Updated 7 years ago
- Universal library for deep reinforcement learning.☆38Apr 15, 2016Updated 10 years ago
- Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning☆201Jun 3, 2017Updated 8 years ago