takuseno / ppo
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
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 5 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆180Updated 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
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 4 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆105Updated 5 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 5 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆114Updated 6 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- Code for hierarchical imitation learning and reinforcement learning☆290Updated 7 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆140Updated 6 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆183Updated 7 years ago
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated 6 months ago
- ☆92Updated 4 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆84Updated 6 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆309Updated 4 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 2 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 8 years ago
- implement of prioritized experience replay☆159Updated 6 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆239Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆314Updated 3 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆361Updated 4 years ago
- Random Network Distillation pytorch☆247Updated 6 years ago
- ☆272Updated 6 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆177Updated 7 years ago
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆88Updated 6 years ago
- Implementation of proximal policy optimization(PPO) with tensorflow☆35Updated 7 years ago