higgsfield / Imagination-Augmented-Agents
Building Agents with Imagination: pytorch step-by-step implementation
☆208Updated 6 years ago
Alternatives and similar repositories for Imagination-Augmented-Agents:
Users that are interested in Imagination-Augmented-Agents are comparing it to the libraries listed below
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆177Updated 7 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆182Updated 7 years ago
- ICML 2018 Self-Imitation Learning☆277Updated 5 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆237Updated 2 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆204Updated 4 years ago
- Tensorflow implementation of generative adversarial imitation learning☆200Updated 7 years ago
- Awesome RL: Papers, Books, Codes, Benchmarks☆116Updated last year
- Deep Variational Reinforcement Learning☆135Updated 2 years ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆133Updated 7 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 5 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆370Updated 3 years ago
- Code for 'The Grand Atari Challenge dataset' paper☆52Updated 7 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"☆197Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆94Updated 2 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆135Updated last year
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆96Updated 7 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆150Updated 4 years ago
- Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)☆121Updated 3 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆189Updated 6 years ago
- Code for "Unsupervised State Representation Learning in Atari"☆247Updated last year
- Code for hierarchical imitation learning and reinforcement learning☆290Updated 7 years ago
- [NIPS 2017] InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆178Updated 5 months ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 3 years ago
- A customizable framework to create maze and gridworld environments☆265Updated 6 years ago
- Random Network Distillation pytorch☆247Updated 6 years ago
- A PyTorch implementation of Rainbow DQN agent☆169Updated 7 years ago