Alternatives and similar repositories for constrained-rl

Users that are interested in constrained-rl are comparing it to the libraries listed below

• danielwillemsen / MAMBPO
  DecentralizedLearning
  ☆24Updated 3 years ago
• liuzuxin / safe-mbrl
  Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
  ☆66Updated 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
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆41Updated 3 years ago
• TonghanWang / DOP
  Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)
  ☆51Updated 3 years ago
• hari-sikchi / safeRL
  Safe Reinforcement Learning algorithms
  ☆75Updated 3 years ago
• AlgTUDelft / AlwaysSafe
  Code for the paper "AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training"
  ☆17Updated 3 years ago
• WilsonWangTHU / POPLIN
  ☆99Updated 2 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
• nolanwagener / safe_rl
  Implementations of SAILR, PDO, and CSC
  ☆31Updated last year
• wendelinboehmer / dcg
  ☆78Updated last year
• eugenevinitsky / robust_RL_multi_adversary
  We investigate the effect of populations on finding good solutions to the robust MDP
  ☆28Updated 4 years ago
• kngwyu / Rainy
  Deep RL agents with PyTorch
  ☆35Updated 4 years ago
• wyjung0625 / p3s
  Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning
  ☆22Updated 6 years ago
• akifumi-wachi-4 / safe_near_optimal_mdp
  Safe Reinforcement Learning in Constrained Markov Decision Processes
  ☆61Updated 5 years ago
• SafeRL-Lab / Uncertainty-in-RL
  The repository is for Reinforcement-Learning Uncertainty research, in which we investigate various uncertain factors in RL.
  ☆23Updated 2 years ago
• aravindsrinivas / neural-mpc
  ☆73Updated 5 years ago
• hejia-zhang / awesome-model-based-reinforcement-learning
  A curated list of awesome Model-based reinforcement learning resources
  ☆95Updated 5 years ago
• schroederdewitt / mackrl
  Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)
  ☆33Updated 6 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago
• thomashirtz / gym-hybrid
  Collection of OpenAI parametrized action-space environments.
  ☆67Updated 9 months ago
• acyclics / MPO
  Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments
  ☆29Updated 5 years ago
• QDPP-GitHub / QDPP
  Multi-Agent Determinantal Q-Learning
  ☆44Updated 3 years ago
• yuchen-x / MacroMARL
  ☆23Updated last year
• gjp1203 / nui_in_madrl
  Negative Update Intervals in Multi-Agent Deep Reinforcement Learning
  ☆34Updated 6 years ago
• ying-wen / malib_deprecated
  A Multi-agent Learning Framework
  ☆62Updated 4 years ago
• rems75 / SPIBB-DQN
  Code for SPIBB-DQN and Soft-SPIBB-DQN
  ☆11Updated 5 years ago
• alversafa / option-critic-arch
  Implementation of the Option-Critic Architecture
  ☆40Updated 7 years ago
• polixir / causal-mbrl
  Toolkit of Causal Model-based Reinforcement Learning.
  ☆33Updated 2 years ago