flowersteam / geppg
☆35Updated 6 years ago
Alternatives and similar repositories for geppg:
Users that are interested in geppg are comparing it to the libraries listed below
- ☆44Updated 6 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆27Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆94Updated 6 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- Code accompanying the OptionGAN paper.☆43Updated 6 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 5 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- PyTorch implementation of Memory Augmented Self-Play☆50Updated 4 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 6 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 6 years ago
- Inferring beliefs about dynamics from behavior☆29Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Reinforcement Learning papers on exploration methods.☆20Updated 3 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- ☆43Updated 8 years ago
- A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆32Updated 7 years ago
- In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.☆19Updated 6 years ago
- Autoregressive policies for continuous control reinforcement learning☆29Updated 5 years ago
- ☆25Updated 6 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 4 years ago
- PyTorch implementation of Proximal Policy Optimization☆51Updated 7 years ago
- PGQ is an approach to combine Policy Gradient and Q-Learning. This repository will contain an implementation of PGQ.☆15Updated 8 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆79Updated 6 years ago
- ICRL 2020☆19Updated 5 years ago