Alternatives and similar repositories for contrastive-aif

Users that are interested in contrastive-aif are comparing it to the libraries listed below

• Grottoh / Deep-Active-Inference-for-Partially-Observable-MDPs
  ☆26Updated 4 years ago
• BerenMillidge / DeepActiveInference
  Code for the paper Deep Active Inference as Variational Policy Gradients.
  ☆24Updated 5 years ago
• alec-tschantz / rl-inference
  Reinforcement Learning through Active Inference
  ☆75Updated 5 years ago
• jsikyoon / dreamer-torch
  Pytorch version of Dreamer, which follows the original TF v2 codes.
  ☆129Updated 3 years ago
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆145Updated 2 years ago
• cross32768 / PlaNet_PyTorch
  Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch
  ☆47Updated 5 years ago
• zfountas / deep-active-inference-mc
  Deep active inference agents using Monte-Carlo methods
  ☆89Updated last month
• 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…
  ☆55Updated 4 years ago
• danijar / director
  Deep Hierarchical Planning from Pixels
  ☆104Updated 2 years ago
• ahmed-touati / controllable_agent
  ☆46Updated 2 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆80Updated 2 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆87Updated 4 years ago
• skezle / continual-dreamer
  Continual RL with wold models (Collas 2023)
  ☆19Updated last year
• jurgisp / pydreamer
  PyTorch implementation of DreamerV2 model-based RL algorithm
  ☆220Updated 2 years ago
• JesseFarebro / distributional-sr
  Official implementation of the δ-model presented in the ICML 2024 paper "A Distributional Analogue to the Successor Representation".
  ☆21Updated 8 months ago
• pbecker93 / vrkn
  Code for "On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning" (TMLR, 2022)
  ☆18Updated last year
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆25Updated last year
• tgangwani / BMIL
  Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)
  ☆20Updated 2 years ago
• luchris429 / model-free-opponent-shaping
  Code for Model-Free Opponent Shaping (ICML 2022)
  ☆19Updated 2 years ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆115Updated 3 years ago
• alversafa / option-critic-arch
  Implementation of the Option-Critic Architecture
  ☆39Updated 6 years ago
• k4ntz / OC_Atari
  Object Centric Atari games
  ☆85Updated last month
• awjuliani / successor_examples
  Tutorials on learning and using successor representations.
  ☆52Updated 5 years ago
• evgenii-nikishin / rl_with_resets
  JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
  ☆100Updated 3 years ago
• flowersteam / TeachMyAgent
  TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.
  ☆73Updated last year
• yusukeurakami / dreamer-pytorch
  pytorch-implementation of Dreamer (Model-based Image RL Algorithm)
  ☆166Updated 5 months ago
• juliusfrost / dreamer-pytorch
  Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.
  ☆306Updated last year
• ucbtns / dai
  🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment
  ☆34Updated 5 years ago
• knowledgetechnologyuhh / goal_conditioned_RL_baselines
  ☆25Updated 2 years ago
• facebookresearch / hsd3
  Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines
  ☆50Updated 3 years ago