flowersteam / geppgLinks
☆35Updated 7 years ago
Alternatives and similar repositories for geppg
Users that are interested in geppg are comparing it to the libraries listed below
Sorting:
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 7 years ago
- ☆44Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 6 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 7 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 7 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- Code for human intervention reinforcement learning☆35Updated 7 years ago
- Distributed implementation of popular evolutionary methods☆64Updated 7 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆94Updated 7 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 7 years ago
- PyTorch implementation of Memory Augmented Self-Play☆52Updated 5 years ago
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆44Updated 4 years ago
- ☆43Updated 8 years ago
- ICRL 2020☆19Updated 5 years ago
- Code accompanying the OptionGAN paper.☆44Updated 7 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆51Updated 6 years ago
- Inferring beliefs about dynamics from behavior☆30Updated 7 years ago
- In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.☆19Updated 7 years ago
- Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation☆31Updated 6 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆129Updated 6 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆28Updated 6 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆153Updated 8 years ago
- ☆25Updated 6 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- Exploration Strategies for Deep Reinforcement Learning☆39Updated 7 years ago