ZiyuanMa / R2D2
An Implementation of Recurrent Experience Replay in Distributed Reinforcement Learning (Kapturowski et al. 2019) in PyTorch
☆45Updated 2 years ago
Alternatives and similar repositories for R2D2:
Users that are interested in R2D2 are comparing it to the libraries listed below
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆83Updated last year
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆162Updated 4 months ago
- ☆40Updated 3 years ago
- Baseline implementation of recurrent PPO using truncated BPTT☆137Updated 10 months ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆34Updated 3 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆167Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆137Updated 6 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 8 months ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆39Updated 4 years ago
- Distributional Soft Actor Critic☆52Updated 4 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM) on Pyramid env, Unity ML☆15Updated last year
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆48Updated 2 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆65Updated last year
- Author's PyTorch implementation of TD7 for online and offline RL☆138Updated last year
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆94Updated 4 years ago
- ☆48Updated 3 years ago
- Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation☆36Updated 4 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆181Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆123Updated 7 months ago
- Prioritized Experience Replay implementation with proportional prioritization☆75Updated last year
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆135Updated 10 months ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆99Updated 2 years ago
- There will be updates later☆84Updated 5 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆105Updated 3 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆98Updated 3 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆43Updated 6 months ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆160Updated 8 months ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆54Updated 3 years ago
- Collection of OpenAI parametrized action-space environments.☆64Updated this week
- Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'☆60Updated 3 years ago