greydanus / baby-a3c
A high-performance Atari A3C agent in 180 lines of PyTorch
☆171Updated 3 years ago
Alternatives and similar repositories for baby-a3c:
Users that are interested in baby-a3c are comparing it to the libraries listed below
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆135Updated last year
- Random Network Distillation pytorch☆247Updated 6 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆208Updated 6 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
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 5 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated 6 months ago
- Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)☆120Updated 3 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆114Updated 6 years ago
- Tensorflow implementation of generative adversarial imitation learning☆200Updated 6 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆237Updated 2 years ago
- ICML 2018 Self-Imitation Learning☆277Updated 4 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 4 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆203Updated 4 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆105Updated 5 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆181Updated 7 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆177Updated 7 years ago
- ☆272Updated 6 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆189Updated 6 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆362Updated 4 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆180Updated 6 years ago
- A customizable framework to create maze and gridworld environments☆264Updated 6 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆370Updated 3 years ago
- My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning☆91Updated 6 years ago
- ☆194Updated 2 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- ☆69Updated 6 years ago
- Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.☆102Updated 5 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 5 years ago