lansiz / nash-finder

Related projects ⓘ

Alternatives and complementary repositories for nash-finder

• radar-research-lab / MFGLib
  A library for mean-field games.
  ☆44Updated this week
• safe-rl / safe-rl-shielding
  ☆39Updated last year
• RDLLab / posggym
  A collection of environments and reference agents for planning and reinforcement learning research in partially observable, multi-agent …
  ☆17Updated last month
• BorealisAI / mtmfrl
  Multi Type Mean Field Reinforcement Learning
  ☆30Updated 2 years ago
• chrisyeh96 / sustaingym
  Reinforcement Learning Environments for Sustainable Energy Systems
  ☆39Updated 5 months ago
• JuliaPOMDP / POMCPOW.jl
  Online solver based on Monte Carlo tree search for POMDPs with continuous state, action, and observation spaces.
  ☆53Updated 4 months ago
• thomashirtz / gym-hybrid
  Collection of OpenAI parametrized action-space environments.
  ☆58Updated last year
• akifumi-wachi-4 / safe_near_optimal_mdp
  Safe Reinforcement Learning in Constrained Markov Decision Processes
  ☆55Updated 4 years ago
• hari-sikchi / safeRL
  Safe Reinforcement Learning algorithms
  ☆70Updated 2 years ago
• grockious / lcrl
  Logically-Constrained Reinforcement Learning
  ☆53Updated 4 months ago
• cvxgrp / cocp
  Source code for the examples accompanying the paper "Learning convex optimization control policies."
  ☆80Updated last year
• ssokota / mmd
  Code for magnetic mirror descent.
  ☆15Updated last year
• indylab / nxdo
  Deep RL Code for XDO: A Double Oracle Algorithm for Extensive-Form Games
  ☆36Updated 3 years ago
• sisl / BetaZero.jl
  Belief-state planning for POMDPs using learned approximations
  ☆20Updated 5 months ago
• wendelinboehmer / dcg
  ☆71Updated 5 months ago
• sisl / POMDPModelChecking.jl
  Perform Model Checking and POMDP Planning from LTL specifications using POMDPs.jl
  ☆15Updated 3 months ago
• robinhenry / gym-anm-exp
  Run MPC-based policies and train RL agents in gym-anm environments using implementations from Stable Baselines 3.
  ☆11Updated last year
• quantumiracle / nash-dqn
  Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…
  ☆17Updated 2 years ago
• gkswamy98 / fast_irl
  Contains implementation of the FILTER algorithm for exponentially faster inverse reinforcement learning.
  ☆46Updated last year
• bath-reinforcement-learning-lab / SVERL_icml_2023
  Code for Shapley values for explaining reinforcement learning. XRL feature-influence method.
  ☆15Updated 10 months ago
• younggyoseo / pytorch-nfsp
  Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)
  ☆45Updated 5 years ago
• dtak / mbrl-smdp-ode
  PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020
  ☆38Updated 4 years ago
• MADPToolbox / MADP
  The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.
  ☆76Updated 4 years ago
• yardenas / la-mbda
  LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
  ☆31Updated last year
• aaronsnoswell / unimodal-irl
  Algorithms for Uni-Modal Inverse Reinforcement Learning
  ☆17Updated 2 years ago
• StanfordASL / CoCo
  ☆35Updated last year
• 011235813 / discrete_mean_field_game
  Experiments on a discrete mean field game model of population dynamics with reinforcement learning
  ☆31Updated last year
• befelix / SafeMDP
  Safe exploration in Markov Decision Processes
  ☆38Updated 6 years ago
• igilitschenski / multi_car_racing
  An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.
  ☆77Updated 2 years ago
• liuzuxin / safe-rl-robustness
  Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)
  ☆40Updated last year