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
- ☆44Updated 6 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆32Updated 7 years ago
- ☆43Updated 8 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Exploration Strategies for Deep Reinforcement Learning☆39Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆80Updated 7 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆50Updated 6 years ago
- Baselines and memory-based scenarios for the ViZDoom simulator☆34Updated 2 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆65Updated 8 years ago
- Code accompanying the OptionGAN paper.☆43Updated 6 years ago
- PyTorch implementation of Proximal Policy Optimization☆50Updated 7 years ago
- E2C implementation in PyTorch☆43Updated 7 years ago
- Modular multitask reinforcement learning with policy sketches☆108Updated 3 years ago
- A collection of reading material for the Workshop on "Structure & Priors in Reinforcement Learning" (SPiRL) at ICLR 2019.☆13Updated 3 years ago
- ☆35Updated 6 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 2 years ago
- A working implementation of the Categorical DQN (Distributional RL).☆96Updated 6 years ago
- RL framework for embodied agents based on PyTorch☆12Updated 5 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- This is my implementation of the Optimality Tightening☆37Updated 7 years ago
- ☆25Updated 6 years ago
- Reinforcement learning in 3D.☆21Updated 7 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 6 years ago
- Meta Reinforcement Learning Experiments☆33Updated 7 years ago
- PGQ is an approach to combine Policy Gradient and Q-Learning. This repository will contain an implementation of PGQ.☆15Updated 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
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆27Updated 5 years ago