yuchen-x / MacroMARL

Related projects ⓘ

Alternatives and complementary repositories for MacroMARL

• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆26Updated 2 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆34Updated 2 years ago
• eugenevinitsky / robust_RL_multi_adversary
  We investigate the effect of populations on finding good solutions to the robust MDP
  ☆28Updated 3 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆35Updated last week
• Neo-X / SMiRL_Code
  ☆18Updated last year
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆44Updated 4 years ago
• oist-cnru / Variational-Recurrent-Models
  Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…
  ☆50Updated 3 years ago
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆61Updated 4 months ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆25Updated last year
• apexrl / CoDAIL
  Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>
  ☆18Updated 3 years ago
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆22Updated 7 months ago
• martius-lab / pink-noise-rl
  ☆37Updated last year
• thu-rllab / CFCQL
  Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.
  ☆25Updated 4 months ago
• jesbu1 / hidio
  Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options
  ☆42Updated 2 years ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆35Updated last year
• tseyde / decqn
  ☆34Updated last year
• ben-eysenbach / mnm
  Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"
  ☆21Updated 3 years ago
• ini / multigrid
  Fast and flexible multi-agent gridworld reinforcement learning environments.
  ☆30Updated last week
• deep-skill-chaining / deep-skill-chaining
  Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"
  ☆28Updated 5 years ago
• uoe-agents / GPL
  Codebase for the Graph-based Policy Learning algorithm, which is designed for learning policies to solve the open ad hoc teamwork problem…
  ☆32Updated 3 years ago
• holarissun / RewardShifting
  Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
  ☆26Updated last year
• henrycharlesworth / PlanGAN
  ☆17Updated 2 years ago
• yobibyte / amorpheus
  My Body Is A Cage
  ☆38Updated 3 years ago
• clvrai / coordination
  Learning to Coordinate Manipulation Skills via Skill Behavior Diversification (ICLR 2020)
  ☆43Updated 2 years ago
• tesslerc / ActionRobustRL
  Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…
  ☆40Updated 5 years ago
• clvrai / new-actions-rl
  ☆24Updated 3 months ago
• ReinholdM / Papers-of-Offline-RL
  Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)
  ☆17Updated 2 years ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆52Updated 10 months ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆31Updated 4 years ago
• kngwyu / Rainy
  Deep RL agents with PyTorch
  ☆35Updated 3 years ago