rgilman33 / simple-A2C-PPOLinks
Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.
☆101Updated 5 years ago
Alternatives and similar repositories for simple-A2C-PPO
Users that are interested in simple-A2C-PPO are comparing it to the libraries listed below
Sorting:
- Actor-critic with experience replay☆254Updated 2 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆209Updated 6 years ago
- ICML 2018 Self-Imitation Learning☆277Updated 5 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆138Updated last year
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 4 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆202Updated 5 years ago
- Code for hierarchical imitation learning and reinforcement learning☆295Updated 7 years ago
- Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)☆121Updated 3 years ago
- implement of prioritized experience replay☆159Updated 7 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆311Updated 4 years ago
- PyTorch implementation of Trust Region Policy Optimization☆447Updated 6 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆179Updated 7 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
- A customizable framework to create maze and gridworld environments☆268Updated 6 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆205Updated 4 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆429Updated last year
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆301Updated last year
- C51-DDQN in Keras☆126Updated 7 years ago
- Random Network Distillation pytorch☆251Updated 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
- Basic versions of agents from Spinning Up in Deep RL written in PyTorch☆206Updated 4 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 6 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆360Updated 5 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆183Updated 7 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆258Updated 10 months ago
- Deep Variational Reinforcement Learning☆135Updated 3 years ago