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:
- Building Agents with Imagination: pytorch step-by-step implementation☆209Updated 6 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 4 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆138Updated last year
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆205Updated 4 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- ICML 2018 Self-Imitation Learning☆276Updated 5 years ago
- Actor-critic with experience replay☆254Updated 2 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
- 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
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆178Updated 7 years ago
- Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)☆121Updated 3 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- A customizable framework to create maze and gridworld environments☆268Updated 6 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆186Updated 7 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆312Updated 4 years ago
- Code for hierarchical imitation learning and reinforcement learning☆295Updated 7 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆300Updated last year
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆131Updated 7 years ago
- ☆91Updated 4 years ago
- Awesome RL: Papers, Books, Codes, Benchmarks☆116Updated last year
- Code release for Learning with Opponent-Learning Awareness and variations.☆149Updated 2 years ago
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- Random Network Distillation pytorch☆252Updated 6 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated 11 months ago
- Reinforcement Learning with Deep Energy-Based Policies☆429Updated last year
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆205Updated 2 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆355Updated 6 years ago