takuseno / ppoLinks
Proximal Policy Optimization implementation with TensorFlow
☆107Updated 6 years ago
Alternatives and similar repositories for ppo
Users that are interested in ppo are comparing it to the libraries listed below
Sorting:
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆181Updated 6 years 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
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 6 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- Code for hierarchical imitation learning and reinforcement learning☆293Updated 7 years ago
- implement of prioritized experience replay☆159Updated 6 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆361Updated 5 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 years ago
- Actor-critic with experience replay☆254Updated 2 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆183Updated 7 years ago
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆103Updated 4 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆84Updated 6 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 5 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆258Updated 9 months ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 5 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 8 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆309Updated 4 years ago
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆427Updated last year
- ☆303Updated 2 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆178Updated 7 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆142Updated 6 years ago
- Random Network Distillation pytorch☆252Updated 6 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆317Updated 3 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- ☆92Updated 4 years ago