Alternatives and similar repositories for prioritized_experience_replay

Users that are interested in prioritized_experience_replay are comparing it to the libraries listed below

• MarcoMeter / episodic-transformer-memory-ppo
  Clean baseline implementation of PPO using an episodic TransformerXL memory
  ☆194Updated last year
• dhruvramani / Transformers-RL
  An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"
  ☆181Updated 2 years ago
• lweitkamp / option-critic-pytorch
  PyTorch implementation of the Option-Critic framework, Harb et al. 2016
  ☆139Updated last year
• kevslinger / DTQN
  Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
  ☆171Updated last year
• MarcoMeter / recurrent-ppo-truncated-bptt
  Baseline implementation of recurrent PPO using truncated BPTT
  ☆156Updated last year
• alirezakazemipour / PPO-RND
  Random network distillation on Montezuma's Revenge and Super Mario Bros.
  ☆52Updated 6 months ago
• instadeepai / og-marl
  Datasets with baselines for Offline MARL.
  ☆186Updated last week
• proroklab / popgym
  Partially Observable Process Gym
  ☆205Updated 5 months ago
• Dragon-Zhuang / BPPO
  Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
  ☆92Updated last year
• sfujim / TD7
  Author's PyTorch implementation of TD7 for online and offline RL
  ☆153Updated 2 years ago
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆180Updated 3 years ago
• liuzuxin / OSRL
  🤖 Elegant implementations of offline safe RL algorithms in PyTorch
  ☆219Updated last year
• watchernyu / REDQ
  Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.
  ☆173Updated last year
• BY571 / CQL
  PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…
  ☆141Updated last year
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆68Updated last year
• schatty / oprl
  A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing
  ☆137Updated 2 months ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆41Updated 5 years ago
• jbr-ai-labs / mamba
  This code accompanies the paper "Scalable Multi-Agent Model-Based Reinforcement Learning".
  ☆59Updated 7 months ago
• twni2016 / pomdp-baselines
  Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
  ☆339Updated last year
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆168Updated this week
• polixir / OfflineRL
  A collection of offline reinforcement learning algorithms.
  ☆204Updated 11 months ago
• Howuhh / faster-trajectory-transformer
  Implementation of Trajectory Transformer with attention caching and batched beam search
  ☆116Updated 2 years ago
• AntoineTheb / RNN-RL
  Experiments with reinforcement learning and recurrent neural networks
  ☆115Updated 2 years ago
• uoe-agents / smaclite
  The Starcraft Multi-Agent challenge lite
  ☆41Updated last year
• luckeciano / transformers-metarl
  Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022
  ☆62Updated 2 years ago
• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆189Updated 3 years ago
• ReinholdM / Offline-Pre-trained-Multi-Agent-Decision-Transformer
  ☆115Updated 2 years ago
• lucaslingle / pytorch_rl2
  Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'
  ☆71Updated 3 years ago
• adik993 / ppo-pytorch
  Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
  ☆146Updated 6 years ago
• ac-93 / soft-actor-critic
  Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.
  ☆97Updated 5 years ago