Alternatives and similar repositories for pytorch_seed_rl

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

• wangyuhuix / TrulyPPO
  ☆30Updated 2 years ago
• xlnwel / model-free-algorithms
  TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
  ☆62Updated 4 years ago
• BlueFisher / Advanced-Soft-Actor-Critic
  Soft Actor-Critic with advanced features
  ☆51Updated 2 weeks ago
• thanhnguyentang / mmdrl
  Official repo for our AAAI'21 paper, https://arxiv.org/abs/2007.12354
  ☆27Updated 4 years ago
• BY571 / Munchausen-RL
  PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
  ☆45Updated 5 years ago
• philipjball / SAC_PyTorch
  🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation
  ☆38Updated 3 years ago
• ying-wen / malib_deprecated
  A Multi-agent Learning Framework
  ☆62Updated 4 years ago
• ShibiHe / Poker-Fictitious-Play
  Fictitious Self-play & Reinforcement Learning
  ☆18Updated 7 years ago
• cyoon1729 / distributedRL
  A framework for easy prototyping of distributed reinforcement learning algorithms
  ☆96Updated 4 years ago
• jparkerholder / DvD_ES
  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
• mike-gimelfarb / bayesian-reward-shaping
  Bayesian Reward Shaping Framework for Deep Reinforcement Learning
  ☆23Updated 6 years ago
• BY571 / FQF-and-Extensions
  PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF…
  ☆33Updated 5 years ago
• lns / dapo
  Source code for the paper "Divergence-Augmented Policy Optimization"
  ☆37Updated 5 years ago
• PKU-RL / FEN
  FEN Code
  ☆38Updated 5 years ago
• younggyoseo / pytorch-nfsp
  Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)
  ☆46Updated 6 years ago
• BY571 / IQN-and-Extensions
  PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…
  ☆88Updated 2 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• lns / memoire
  ☆18Updated 6 years ago
• wisnunugroho21 / reinforcement_learning_ppo_rnd
  Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…
  ☆53Updated 4 years ago
• openai / ppo-ewma
  Code for the paper "Batch size invariance for policy optimization"
  ☆52Updated 2 years ago
• tuero / muzero-cpp
  A C++ pytorch implementation of MuZero
  ☆40Updated last year
• ReinholdM / Papers-of-Offline-RL
  Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)
  ☆18Updated 3 years ago
• sisl / event-driven-rllab
  Extending rllab to event-driven multiagent environments
  ☆15Updated 7 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 2 months ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆29Updated 3 years ago
• MarcoMeter / neroRL
  Deep Reinforcement Learning Framework done with PyTorch
  ☆37Updated 6 months ago
• automl / SEARL
  Sample-Efficient Automated Deep Reinforcement Learning
  ☆34Updated 4 years ago
• rmst / rtrl
  PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)
  ☆76Updated 5 years ago
• udion / Transformer-RL
  Experiments with transformer based RL algorithms
  ☆22Updated 5 years ago
• dannysdeng / dqn-pytorch
  PyTorch - Implicit Quantile Networks - Quantile Regression - C51
  ☆22Updated 6 years ago