tpbarron / pytorch-a2c
Simple change of a3c to a2c
☆15Updated 7 years ago
Alternatives and similar repositories for pytorch-a2c:
Users that are interested in pytorch-a2c are comparing it to the libraries listed below
- Proximal Policy Optimization in PyTorch☆39Updated 7 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆94Updated 6 years ago
- ☆44Updated 6 years ago
- ☆35Updated 6 years ago
- Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation☆31Updated 6 years ago
- A simple Gridworld environment for Open AI gym☆25Updated 6 years ago
- Keras implementation of Curiosity-driven Exploration by Self-supervised Prediction☆8Updated 7 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- PyTorch implementation of Proximal Policy Optimization☆51Updated 7 years ago
- DQV-Learning: a novel faster synchronous Deep Reinforcement Learning algorithm☆25Updated 2 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 6 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆93Updated 4 years ago
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆21Updated 6 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆50Updated 6 years ago
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆43Updated 3 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- Our NIPS 2017: Learning to Run source code☆55Updated 2 years ago
- Reinforcement learning benchmarking.☆40Updated 6 years ago
- Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"☆21Updated 7 years ago
- A first bare bones paralleled implementation of Go Explore as described by the Uber Engineering blog post☆46Updated 6 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 5 years ago
- A collection of code investigating the use of information theory for abstractions in RL☆16Updated 6 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆31Updated 4 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- hierarchical deep reinforcement learning algorithms☆41Updated 7 years ago
- Map-Elites based on Evolution Strategies☆31Updated 3 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆79Updated 6 years ago
- RL framework for embodied agents based on PyTorch☆12Updated 6 years ago