higgsfield / Imagination-Augmented-AgentsLinks
Building Agents with Imagination: pytorch step-by-step implementation
☆209Updated 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
Sorting:
- ICML 2018 Self-Imitation Learning☆277Updated 5 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆179Updated 7 years ago
- Deep Variational Reinforcement Learning☆135Updated 3 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆205Updated 4 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆238Updated 2 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆202Updated 5 years ago
- A customizable framework to create maze and gridworld environments☆268Updated 6 years ago
- Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)☆121Updated 3 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement le…☆216Updated 6 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆138Updated last year
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆183Updated 7 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 4 years ago
- Code for 'The Grand Atari Challenge dataset' paper☆53Updated 7 years ago
- Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"☆203Updated 6 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆153Updated 7 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆95Updated 7 years ago
- Basic versions of agents from Spinning Up in Deep RL written in PyTorch☆206Updated 4 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆370Updated 3 years ago
- Actor-critic with experience replay☆254Updated 2 years ago
- Code release for Learning with Opponent-Learning Awareness and variations.☆149Updated 2 years ago
- Tensorflow implementation of generative adversarial imitation learning☆199Updated 7 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago