jachiam / surprise
Surprise-based intrinsic motivation for deep reinforcement learning
☆20Updated 7 years ago
Alternatives and similar repositories for surprise:
Users that are interested in surprise are comparing it to the libraries listed below
- A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆32Updated 7 years ago
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 6 years ago
- ☆44Updated 6 years ago
- Implementation of Deepmind's Neural Episodic Control☆59Updated 6 years ago
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆80Updated 7 years ago
- ☆42Updated 7 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆65Updated 8 years ago
- This is my implementation of the Optimality Tightening☆37Updated 7 years ago
- Exploration Strategies for Deep Reinforcement Learning☆39Updated 6 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- PyTorch implementation of Memory Augmented Self-Play☆50Updated 4 years ago
- krazy grid world☆25Updated 4 years ago
- Baselines and memory-based scenarios for the ViZDoom simulator☆34Updated 2 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆27Updated 5 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆34Updated 6 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"☆21Updated 6 years ago
- E2C implementation in PyTorch☆44Updated 7 years ago
- ☆19Updated 8 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- Reinforcement Learning papers on exploration methods.☆20Updated 3 years ago
- Implementation of Neural Episodic Control in Tensorflow☆26Updated 5 years ago
- Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"☆18Updated 7 years ago
- mplementation of Advantage Actor Critic (A2C) and Proximal Policy Optimization Algorithm (PPO) use the advantages of Tensorflow 2.x.☆9Updated 4 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆92Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago