Alternatives and similar repositories for eipo:

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

• apexrl / GCRL-Collection
  This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…
  ☆117Updated last year
• SvenGronauer / Bullet-Safety-Gym
  An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
  ☆64Updated last year
• chauncygu / Safe-Multi-Agent-Mujoco
  Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.
  ☆54Updated 8 months ago
• sfujim / TD7
  Author's PyTorch implementation of TD7 for online and offline RL
  ☆127Updated last year
• ReinholdM / Offline-Pre-trained-Multi-Agent-Decision-Transformer
  ☆107Updated last year
• YangRui2015 / Sparse-Reward-Algorithms
  Implement many Sparse Reward algorithms in Gym Fetch environment
  ☆86Updated 4 years ago
• alirezakazemipour / DIAYN-PyTorch
  Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.
  ☆65Updated last year
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆161Updated 2 years ago
• UnrealTracking / mate
  MATE: the Multi-Agent Tracking Environment.
  ☆44Updated last year
• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆39Updated 2 years ago
• uoe-agents / smaclite
  The Starcraft Multi-Agent challenge lite
  ☆41Updated 5 months ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆38Updated 4 years ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆97Updated 3 years ago
• watchernyu / REDQ
  Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.
  ☆157Updated 3 months ago
• martius-lab / HiTS
  Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021
  ☆31Updated 2 years ago
• liuzuxin / DSRL
  🔥 Datasets and env wrappers for offline safe reinforcement learning
  ☆85Updated 5 months ago
• jidiai / Competition_Olympics-Integrated
  ☆25Updated 2 years ago
• lweitkamp / option-critic-pytorch
  PyTorch implementation of the Option-Critic framework, Harb et al. 2016
  ☆122Updated 6 months ago
• jesbu1 / hidio
  Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options
  ☆44Updated 3 years ago
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆67Updated 7 months ago
• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆173Updated 2 years ago
• YiqinYang / ICQ
  Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…
  ☆72Updated 2 years ago
• montaserFath / BCO
  behavior cloning from observation
  ☆35Updated 4 years ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆54Updated last year
• MarcoMeter / recurrent-ppo-truncated-bptt
  Baseline implementation of recurrent PPO using truncated BPTT
  ☆134Updated 9 months ago
• mengf1 / CHER
  Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)
  ☆62Updated 5 years ago
• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆27Updated 3 years ago
• Dragon-Zhuang / BPPO
  Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
  ☆81Updated last year
• polixir / OfflineRL
  A collection of offline reinforcement learning algorithms.
  ☆166Updated 2 months ago
• KarlXing / RL-Visual-Continuous-Control
  RL Algorithms for Visual Continuous Control
  ☆33Updated last year