wisnunugroho21 / reinforcement_learning_ppo_rnd
Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation
☆51Updated 4 years ago
Alternatives and similar repositories for reinforcement_learning_ppo_rnd:
Users that are interested in reinforcement_learning_ppo_rnd are comparing it to the libraries listed below
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆49Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆139Updated 6 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆122Updated 4 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆137Updated 2 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆102Updated 2 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 4 years ago
- ☆128Updated 9 months ago
- ☆109Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆39Updated 4 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 9 months ago
- Prioritized Experience Replay implementation with proportional prioritization☆77Updated last year
- Soft Actor-Critic with advanced features☆49Updated this week
- Collection of OpenAI parametrized action-space environments.☆64Updated last month
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆46Updated last year
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆176Updated 9 months ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆98Updated 5 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆181Updated 2 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆58Updated 4 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆126Updated 8 months ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆178Updated 7 months ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆118Updated 5 months ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆161Updated 9 months ago
- ☆75Updated 10 months ago
- Pytorch implementation of [Feudal Net](https://arxiv.org/abs/1703.01161). ([Tensorflow version](https://github.com/dmakian/feudal_networ…☆16Updated 5 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 3 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆167Updated 3 years ago
- Adaptive Attention Span for Reinforcement Learning☆133Updated 4 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆87Updated 2 years ago