Alternatives and similar repositories for BCL

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

• 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
• thomyphan / resilient-marl
  Resilient Multi-Agent Reinforcement Learning
  ☆10Updated 3 years ago
• sihongho / Robust_MARL_with_State_Uncertainty
  Robust Multi-Agent Reinforcement Learning with State Uncertainty
  ☆13Updated 2 years ago
• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆27Updated 3 years ago
• daniellawson9999 / online-decision-transformer
  An unofficial implementation for online decision transformer
  ☆41Updated 3 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• eugenevinitsky / robust_RL_multi_adversary
  We investigate the effect of populations on finding good solutions to the robust MDP
  ☆28Updated 4 years ago
• umd-huang-lab / WocaR-RL
  Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
  ☆27Updated 2 years ago
• huanzhang12 / ATLA_robust_RL
  Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
  ☆67Updated 4 years ago
• danielwillemsen / MAMBPO
  DecentralizedLearning
  ☆24Updated 3 years ago
• tuomaso / radial_rl_v2
  This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss​…
  ☆30Updated 3 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆32Updated 5 years ago
• rraileanu / policy-dynamics-value-functions
  ☆33Updated last year
• manantomar / Mirror-Descent-Policy-Optimization
  Mirror Descent Policy Optimization
  ☆41Updated 5 years ago
• chenhongge / StateAdvDRL
  [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"
  ☆139Updated 4 years ago
• waterhorse1 / NAC
  (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.
  ☆28Updated 4 years ago
• yashbonde / Transformer-RL
  Experiments to train transformer network to master reinforcement learning environments.
  ☆32Updated 4 years ago
• martius-lab / cid-in-rl
  Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…
  ☆47Updated 3 years ago
• huanzhang12 / SA_PPO
  [NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning
  ☆31Updated 4 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆41Updated 3 years ago
• matrl-project / matrl
  ☆12Updated 4 years ago
• google-deepmind / active_ops
  ☆33Updated last year
• uoe-agents / MATE
  Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning
  ☆14Updated last year
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 5 months ago
• Stanford-ILIAD / Confidence-Aware-Imitation-Learning
  ☆40Updated 4 years ago
• polixir / causal-mbrl
  Toolkit of Causal Model-based Reinforcement Learning.
  ☆32Updated 2 years ago
• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆26Updated 4 years ago
• Miffyli / rl-action-space-shaping
  Experiment code for testing effect of various action space transformations in reinforcement learning
  ☆30Updated 5 years ago
• Lifelong-ML / Mendez2022ModularLifelongRL
  Source code to reproduce experiments from Mendez et al., ICLR '22
  ☆22Updated 3 years ago
• hsvgbkhgbv / shapley-q-learning
  This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.
  ☆50Updated 2 years ago