takuseno / ppo
Proximal Policy Optimization implementation with TensorFlow
☆106Updated 6 years ago
Alternatives and similar repositories for ppo:
Users that are interested in ppo are comparing it to the libraries listed below
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆133Updated 7 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆113Updated 6 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆104Updated 5 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆260Updated 4 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆181Updated 6 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 5 years ago
- Random Network Distillation pytorch☆247Updated 6 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆189Updated 6 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆174Updated 2 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆94Updated 4 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆137Updated 6 years ago
- implement of prioritized experience replay☆160Updated 6 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆131Updated 2 years ago
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆181Updated 6 years ago
- Pytorch implementation of distributed deep reinforcement learning☆75Updated 2 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆136Updated 11 months ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆182Updated 7 years ago
- ☆92Updated 4 years ago
- TensorFlow & Keras implementation of DQN with HER (Hindsight Experience Replay)☆40Updated 4 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆176Updated 7 years ago
- Implementation of proximal policy optimization(PPO) with tensorflow☆35Updated 7 years ago
- RainBow, Tensorflow☆49Updated 6 years ago
- Code for hierarchical imitation learning and reinforcement learning☆289Updated 7 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆83Updated 6 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆137Updated 2 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆117Updated 4 months ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago