higgsfield / Imagination-Augmented-Agents
Building Agents with Imagination: pytorch step-by-step implementation
☆207Updated 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 Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆235Updated 2 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆175Updated 7 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 5 years ago
- NIPS 2017 Value Prediction Network☆165Updated 7 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆181Updated 7 years ago
- ICML 2018 Self-Imitation Learning☆275Updated 4 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆95Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆201Updated 4 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 6 years ago
- Deep Variational Reinforcement Learning☆134Updated 2 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆86Updated 6 years ago
- Awesome RL: Papers, Books, Codes, Benchmarks☆115Updated last year
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated 4 months ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆151Updated 7 years ago
- Basic versions of agents from Spinning Up in Deep RL written in PyTorch☆200Updated 3 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆203Updated 4 years ago
- Modular multitask reinforcement learning with policy sketches☆108Updated 3 years ago
- Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)☆120Updated 3 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
- Code for "Unsupervised State Representation Learning in Atari"☆245Updated last year
- ☆268Updated 6 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 3 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆123Updated 5 years ago
- [NIPS 2017] InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆177Updated 3 months ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆189Updated 5 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆93Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago