d-corsi / SafeRL

Related projects ⓘ

Alternatives and complementary repositories for SafeRL

• LeoZhengZLY / stackelberg-actor-critic-algos
  ☆37Updated 2 years ago
• MJ10 / matd3-pytorch
  PyTorch implementation of MATD3
  ☆12Updated 4 years ago
• laonahongchen / Bilevel-Optimization-in-Coordination-Game
  code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)
  ☆55Updated 4 years ago
• tbasaklar / PDMORL-Preference-Driven-Multi-Objective-Reinforcement-Learning-Algorithm
  A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…
  ☆25Updated last year
• SapanaChaudhary / PyTorch-CPO
  PyTorch implementation of Constrained Policy Optimization
  ☆48Updated 3 years ago
• hari-sikchi / pytorch_CPO
  Simple implementation for Constrained Policy Optimization in Pytorch
  ☆14Updated 2 years ago
• MUmarJaved / MultiAgent-Distributed-Reinforcement-Learning
  ☆20Updated 5 years ago
• dobro12 / CPO
  Constrained Policy Optimization implementation on Safety Gym
  ☆21Updated 2 years ago
• ammarhydr / SAC-Lagrangian
  PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm
  ☆31Updated 2 years ago
• akjayant / PPO_Lagrangian_PyTorch
  Implementation of PPO Lagrangian in PyTorch
  ☆35Updated 2 years ago
• murtazarang / MD-MADDPG
  ☆15Updated 5 years ago
• liyiying / meta-MADDPG
  meta-MADDPG (Python implementation)
  ☆17Updated 6 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆38Updated 4 years ago
• Steven-Ho / madrl-baselines
  Some multiagent deep reinforcement learning algorithms and its PyTorch implementation.
  ☆11Updated 4 years ago
• AlgTUDelft / WCSAC
  Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"
  ☆51Updated last year
• rhoowd / sched_net
  ☆83Updated 3 years ago
• 011235813 / cm3
  Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
  ☆55Updated 2 years ago
• tocom242242 / nash_q_learning
  Nash Q Learning
  ☆30Updated 4 years ago
• verystrongjoe / qmix
  qmix
  ☆22Updated 4 years ago
• puyuan1996 / MARL
  Implementation for mSAC methods in PyTorch
  ☆37Updated 3 years ago
• starry-sky6688 / DyMA-CL
  Implementation of DyMA-CL, MARL algorithm
  ☆26Updated 4 years ago
• feidieufo / RL-Implementation
  simple code to reinforcement learning
  ☆19Updated 4 years ago
• akifumi-wachi-4 / safe_near_optimal_mdp
  Safe Reinforcement Learning in Constrained Markov Decision Processes
  ☆55Updated 4 years ago
• Bigpig4396 / PyTorch-Counterfactual-Multi-Agent-Policy-Gradients-COMA
  ☆71Updated 5 years ago
• adithya-subramanian / Multi_Agent_Soft_Actor_Critic
  A Pytorch Implementation of Multi Agent Soft Actor Critic
  ☆35Updated 5 years ago
• sanmuyang / multi-agent-PPO-on-SMAC
  Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.
  ☆57Updated 2 years ago
• Felhof / DiscreteSAC
  ☆39Updated 3 years ago
• baimingc / delay-aware-MARL
  Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".
  ☆51Updated 4 years ago
• hossam-mossalam / multi-objective-deep-rl
  Multi-Objective Deep Reinforcement Learning
  ☆41Updated 7 years ago
• Metro1998 / P-DQN
  Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
  ☆37Updated 2 years ago