Alternatives and similar repositories for icmppo

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

• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆43Updated 3 years ago
• daniellawson9999 / online-decision-transformer
  An unofficial implementation for online decision transformer
  ☆41Updated 3 years ago
• toshikwa / slac.pytorch
  PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).
  ☆94Updated last year
• mengf1 / CHER
  Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)
  ☆67Updated 5 years ago
• jatinarora2702 / gail-pytorch
  PyTorch implementation of GAIL and PPO reinforcement learning algorithms
  ☆25Updated 4 years ago
• zoharri / mamba
  Meta-RL Model-Based Algorithm
  ☆41Updated 8 months ago
• BY571 / IQN-and-Extensions
  PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…
  ☆90Updated 2 years ago
• LunjunZhang / world-model-as-a-graph
  Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)
  ☆68Updated 4 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 5 months ago
• kristery / Imitation-Learning-from-Imperfect-Demonstration
  [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"
  ☆48Updated 6 years ago
• alirezakazemipour / DDPG-HER
  Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.
  ☆102Updated 7 months ago
• luckeciano / transformers-metarl
  Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022
  ☆65Updated 2 years ago
• Steven-Ho / VALOR
  Implementation of VALOR (Variational Option Discovery Algorithms)
  ☆10Updated 6 years ago
• jhejna / few-shot-preference-rl
  ☆37Updated 2 years ago
• HumanCompatibleAI / learning-from-human-preferences
  Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"
  ☆31Updated 4 years ago
• Mee321 / policy-distillation
  ☆15Updated 6 years ago
• JasonMa2016 / GoFAR
  Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)
  ☆36Updated 2 years ago
• yobibyte / amorpheus
  My Body Is A Cage
  ☆41Updated 4 years ago
• AntoineTheb / RNN-RL
  Experiments with reinforcement learning and recurrent neural networks
  ☆114Updated 2 years ago
• pairlab / d2rl
  Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"
  ☆39Updated 4 years ago
• ezliu / dream
  Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning
  ☆90Updated 2 years ago
• yashbonde / Transformer-RL
  Experiments to train transformer network to master reinforcement learning environments.
  ☆32Updated 4 years ago
• RchalYang / Soft-Module
  Code for "Multi-task Reinforcement Learning with Soft Modularization"
  ☆123Updated 5 years ago
• alirezakazemipour / PPO-RND
  Random network distillation on Montezuma's Revenge and Super Mario Bros.
  ☆52Updated 7 months ago
• Howuhh / faster-trajectory-transformer
  Implementation of Trajectory Transformer with attention caching and batched beam search
  ☆116Updated 2 years ago
• twni2016 / Meta-SAC
  Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020
  ☆33Updated 4 years ago
• wsjeon / multiagent-gail
  multiagent-gail working with multiagent-particle-env-v2 (which was modified by magail authors)
  ☆13Updated 6 years ago
• montaserFath / BCO
  behavior cloning from observation
  ☆37Updated 5 years ago
• Improbable-AI / eipo
  Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization
  ☆83Updated 2 years ago
• SwapnilPande / MOReL
  Model-Based Offline Reinforcement Learning
  ☆51Updated 4 years ago