rgilman33 / simple-A2C-PPO
Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.
☆103Updated 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
- Building Agents with Imagination: pytorch step-by-step implementation☆207Updated 6 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆135Updated 11 months ago
- Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)☆120Updated 3 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 3 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆181Updated 6 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆189Updated 5 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 5 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆203Updated 4 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- Deep Variational Reinforcement Learning☆134Updated 2 years ago
- ICML 2018 Self-Imitation Learning☆275Updated 4 years ago
- Random Network Distillation pytorch☆246Updated 6 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆175Updated 7 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆236Updated 2 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated 5 months ago
- implement of prioritized experience replay☆160Updated 6 years ago
- Code for hierarchical imitation learning and reinforcement learning☆289Updated 6 years ago
- ☆69Updated 6 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆201Updated 4 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆181Updated 7 years ago
- Basic versions of agents from Spinning Up in Deep RL written in PyTorch☆199Updated 3 years ago
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- PyTorch implementation of Proximal Policy Optimization☆51Updated 7 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆181Updated 6 years ago
- Tensorflow implementation of generative adversarial imitation learning☆199Updated 6 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 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 a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Awesome RL: Papers, Books, Codes, Benchmarks☆115Updated last year