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 2 weeks ago
- Soft Actor-Critic with advanced features☆51Updated this week
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆54Updated 6 months ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- PyTorch IMPALA implementation☆28Updated 6 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Distributional Soft Actor Critic☆58Updated 5 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆185Updated last year
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- ☆201Updated 2 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆105Updated 4 years ago
- NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.☆24Updated last year
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆191Updated 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
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- A simple framework for distributed reinforcement learning in PyTorch.☆16Updated 5 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆128Updated 4 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆55Updated 2 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆188Updated 3 years ago
- MADDPG in Ray/RLlib☆54Updated 5 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62Updated 6 years ago
- Pytorch implementation of intrinsic curiosity module with proximal policy optimization☆53Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- OpenAI Gym environment for Platform☆20Updated 6 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 5 years ago
- ☆99Updated 2 years ago