createamind / Distributed-DRL
Distributed Deep Reinforcement Learning
☆29Updated 4 years ago
Alternatives and similar repositories for Distributed-DRL:
Users that are interested in Distributed-DRL are comparing it to the libraries listed below
- PyTorch IMPALA implementation☆26Updated 5 years ago
- Author's PyTorch implementation of LAP and PAL with TD3 and DDQN☆33Updated 3 years ago
- Soft Actor-Critic with advanced features☆50Updated this week
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Multi-Agent Determinantal Q-Learning☆42Updated 2 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 5 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 2 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 5 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 4 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>☆18Updated 3 years ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 2 years ago
- DecentralizedLearning☆24Updated 2 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 6 years ago
- ☆30Updated 2 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆22Updated last year
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆49Updated 2 years ago
- ☆76Updated 11 months ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆62Updated 6 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 5 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆54Updated 3 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆40Updated 2 years ago
- Learning Individual Intrinsic Reward in MARL☆62Updated 2 years ago
- Pytorch implementation of Soft Actor-Critic☆18Updated 5 years ago
- Implementations of SAILR, PDO, and CSC☆32Updated 9 months ago
- Implementation of the Option-Critic Architecture☆39Updated 6 years ago