Alternatives and similar repositories for TheoryOfMindInferenceModels

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

• rosewang2008 / gym-cooking
  🏆 gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of the CogSci 2020 Compu…
  ☆208Updated 4 years ago
• awjuliani / successor_examples
  Tutorials on learning and using successor representations.
  ☆52Updated 5 years ago
• HumanCompatibleAI / overcooked-hAI-exp
  Overcooked-AI Experiment Psiturk Demo (for MTurk experiments)
  ☆12Updated 4 years ago
• HumanCompatibleAI / human_aware_rl
  Code for "On the Utility of Learning about Humans for Human-AI Coordination"
  ☆109Updated 2 years ago
• social-dilemma / multiagent
  Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmas
  ☆50Updated 2 years ago
• CILAB-MA / Machine_ToM
  The Implementation of "Machine Theory of Mind", ICML 2018
  ☆24Updated 3 years ago
• rr-learning / CausalWorld
  CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
  ☆227Updated 2 years ago
• nathangrinsztajn / Box-World
  Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"
  ☆47Updated last year
• flowersteam / TeachMyAgent
  TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.
  ☆75Updated last year
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆89Updated 4 years ago
• luchris429 / model-free-opponent-shaping
  Code for Model-Free Opponent Shaping (ICML 2022)
  ☆19Updated 2 years ago
• sjtu-marl / ZSC-Eval
  This repository is the official implementation of ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination. P…
  ☆42Updated 3 months ago
• dibyaghosh / gcsl
  Code for "Learning to Reach Goals via Iterated Supervised Learning"
  ☆79Updated 3 years ago
• Grottoh / Deep-Active-Inference-for-Partially-Observable-MDPs
  ☆26Updated 4 years ago
• dido1998 / CausalMBRL
  Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
  ☆48Updated 4 years ago
• mklissa / PPOC
  Proximal Policy Option-Critic
  ☆25Updated 6 years ago
• sparisi / cbet
  Change-Based Exploration Transfer
  ☆35Updated 3 years ago
• ucl-dark / paired
  PAIRED in PyTorch 🔥
  ☆63Updated 2 years ago
• kandouss / marlgrid
  Gridworld for MARL experiments
  ☆141Updated 4 years ago
• ahmed-touati / controllable_agent
  ☆48Updated 2 years ago
• Stanford-ILIAD / APReL
  A Library for Active Preference-based Reward Learning Algorithms
  ☆52Updated last year
• k-r-allen / tool-games
  Physics games involving tool use for studying human physical representations and rapid trial-and-error learning
  ☆48Updated 4 years ago
• KempnerInstitute / nicewebrl
  NiceWebRL is a Python library for quickly making human subject experiments that leverage machine reinforcement learning environments.
  ☆59Updated last week
• MicroSTM / PHASE
  Code for procedurally synthesizing PHASE animations
  ☆16Updated 3 years ago
• ezliu / dream
  Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning
  ☆90Updated 2 years ago
• HumanCompatibleAI / evaluating-rewards
  Library to compare and evaluate reward functions
  ☆67Updated last year
• ucbtns / dai
  🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment
  ☆34Updated 5 years ago
• ben-eysenbach / sac
  Soft Actor-Critic
  ☆153Updated 7 years ago
• spitis / mrl
  ☆113Updated 2 years ago
• mila-iqia / spr
  Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"
  ☆162Updated 3 years ago