praveen-palanisamy / Ape-X-DQNLinks
PyTorch Implementation of Ape-X (Distributed prioritized experience replay) architecture with DQN learner
☆27Updated 5 years ago
Alternatives and similar repositories for Ape-X-DQN
Users that are interested in Ape-X-DQN are comparing it to the libraries listed below
Sorting:
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated last month
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- Soft Actor-Critic with advanced features☆51Updated 2 weeks ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆105Updated 4 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 6 months ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- Distributional Soft Actor Critic☆58Updated 5 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆67Updated 5 years ago
- PyTorch IMPALA implementation☆28Updated 6 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆292Updated 4 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆325Updated 3 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆105Updated 5 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆193Updated 2 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62Updated 6 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆56Updated 2 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆131Updated 7 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆161Updated 5 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆212Updated 6 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆146Updated 3 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆89Updated 6 years ago
- ☆78Updated last year
- PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)☆154Updated 6 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago