vwxyzjn / PPO-Implementation-Deep-DiveLinks
DEPRECATED - please visit https://github.com/vwxyzjn/ppo-implementation-details
☆46Updated 3 years ago
Alternatives and similar repositories for PPO-Implementation-Deep-Dive
Users that are interested in PPO-Implementation-Deep-Dive are comparing it to the libraries listed below
Sorting:
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆318Updated 2 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆134Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- Gridworld for MARL experiments☆142Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆325Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆311Updated last year
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆162Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated last month
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆292Updated 4 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆262Updated 5 years ago
- There will be updates later☆85Updated 6 years ago
- ☆122Updated 2 years ago
- Lightweight multi-agent gridworld Gym environment☆210Updated 2 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆374Updated 3 years ago
- ☆97Updated 4 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆194Updated last year
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆82Updated 2 years ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆58Updated 3 years ago
- Code for Weighted QMIX☆140Updated 4 years ago
- Code for the paper "Phasic Policy Gradient"☆265Updated 2 years ago
- Experiments with reinforcement learning and recurrent neural networks☆115Updated last year
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆214Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆559Updated 3 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆104Updated 3 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆205Updated 3 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆334Updated last year
- Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'☆69Updated 3 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆163Updated 2 years ago