Alternatives and similar repositories for Variational-Automatic-Curriculum-Learning

Users that are interested in Variational-Automatic-Curriculum-Learning are comparing it to the libraries listed below

• chauncygu / Safe-Multi-Agent-Mujoco
  Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.
  ☆70Updated last year
• martius-lab / HiTS
  Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021
  ☆36Updated 3 years ago
• UnrealTracking / mate
  MATE: the Multi-Agent Tracking Environment.
  ☆50Updated 2 years ago
• xihuai18 / A2PO-ICLR2023
  Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)
  ☆32Updated last month
• osilab-kaist / smac_exp
  An open source benchmark for Multi Agent Reinforcement Learning
  ☆30Updated 2 years ago
• Cranial-XIX / marl-copa
  PyTorch Implementation of COPA for coordinating teams that can dynamically change.
  ☆22Updated 3 years ago
• SvenGronauer / Bullet-Safety-Gym
  An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
  ☆71Updated 2 years ago
• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆27Updated 3 years ago
• tesslerc / ActionRobustRL
  Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…
  ☆48Updated 6 years ago
• nolanwagener / safe_rl
  Implementations of SAILR, PDO, and CSC
  ☆31Updated last year
• morning9393 / Optimal-Baseline-for-Multi-agent-Policy-Gradients
  ☆30Updated 4 years ago
• TonghanWang / EITI-EDTI
  Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)
  ☆33Updated 5 years ago
• LAMDA-RL / ODIS
  The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".
  ☆46Updated last year
• sjtu-marl / bd_rd_psro
  Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
  ☆23Updated 3 years ago
• trzhang0116 / HRAC
  PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…
  ☆44Updated 2 years ago
• gwthomas / Safe-MBPO
  Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"
  ☆50Updated 3 years ago
• kpaonaut / HAAR-A-Hierarchical-RL-Algorithm
  Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards
  ☆32Updated 3 years ago
• MDrW / ICML2022-IRAT
  ☆40Updated 3 years ago
• diversepsro / diverse_psro
  ☆22Updated 4 years ago
• IouJenLiu / CMAE
  ☆49Updated 4 years ago
• PKU-MARL / TRPO-PPO-in-MARL
  ☆16Updated 3 years ago
• apexrl / AORPO
  Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.
  ☆21Updated last month
• chenf-ai / Multi-Agent-Communication-Considering-Representation-Learning
  ☆30Updated 3 years ago
• simsimiSION / pymarl-algorithm-extension-via-starcraft
  ☆12Updated 5 years ago
• umd-huang-lab / WocaR-RL
  Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
  ☆27Updated 2 years ago
• chrisyrniu / Recent-Advances-in-Multi-Agent-Reinforcement-Learning
  A collection of recent MARL papers
  ☆104Updated last year
• StanfordVL / alignment
  ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward
  ☆19Updated 3 years ago
• mantle2048 / rlplot
  rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").
  ☆34Updated 2 years ago
• ZhengYinan-AIR / OMIGA
  [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…
  ☆39Updated last year
• yuchen-x / MacroMARL
  ☆23Updated last year