younggyoseo / Ape-XLinks
PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)
☆154Updated 6 years ago
Alternatives and similar repositories for Ape-X
Users that are interested in Ape-X are comparing it to the libraries listed below
Sorting:
- Random Network Distillation pytorch☆249Updated 6 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 4 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 years ago
- ☆143Updated 5 months ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 7 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆141Updated 6 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 5 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆177Updated 7 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 5 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆177Updated 10 months ago
- Pytorch implementation of intrinsic curiosity module with proximal policy optimization☆53Updated 6 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆138Updated 2 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆189Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 8 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆238Updated 2 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆94Updated 2 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated 7 months ago
- Code for the paper "Phasic Policy Gradient"☆261Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆316Updated 3 years ago
- Code for hierarchical imitation learning and reinforcement learning☆292Updated 7 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 5 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 4 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆369Updated 5 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆180Updated 6 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆189Updated 2 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆183Updated 7 years ago