Grottoh / Deep-Active-Inference-for-Partially-Observable-MDPs

Related projects ⓘ

Alternatives and complementary repositories for Deep-Active-Inference-for-Partially-Observable-MDPs

• alec-tschantz / rl-inference
  Reinforcement Learning through Active Inference
  ☆68Updated 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…
  ☆51Updated 3 years ago
• BerenMillidge / DeepActiveInference
  Code for the paper Deep Active Inference as Variational Policy Gradients.
  ☆24Updated 4 years ago
• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆26Updated 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 …
  ☆83Updated 3 years ago
• tgangwani / BMIL
  Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)
  ☆18Updated 2 years ago
• ucbtns / dai
  🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment
  ☆35Updated 4 years ago
• BKHMSI / Meta-RL-TwoStep-Task
  PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three …
  ☆32Updated 3 years ago
• Neo-X / SMiRL_Code
  ☆18Updated 2 years ago
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆55Updated 10 months ago
• martius-lab / cid-in-rl
  Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…
  ☆36Updated 2 years ago
• luchris429 / model-free-opponent-shaping
  Code for Model-Free Opponent Shaping (ICML 2022)
  ☆17Updated 2 years ago
• alversafa / option-critic-arch
  Implementation of the Option-Critic Architecture
  ☆36Updated 5 years ago
• HumanCompatibleAI / population-irl
  (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards
  ☆26Updated 5 years ago
• philipjball / SAC_PyTorch
  🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation
  ☆36Updated 2 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆34Updated 2 years ago
• flowersteam / TeachMyAgent
  TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.
  ☆67Updated last year
• Stanford-ILIAD / Confidence-Aware-Imitation-Learning
  ☆34Updated 3 years ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆34Updated 2 years ago
• ramp-kits / rl_simulator
  Model-based reinforcement learning (generative simulator models and planning agents)
  ☆15Updated 3 years ago
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆44Updated 4 years ago
• sisl / DICG
  Deep Implicit Coordination Graphs
  ☆41Updated 5 months ago
• liuzuxin / safe-mbrl
  Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
  ☆62Updated last year
• arushijain94 / SafeOptionCritic
  Safe Option-Critic: Learning Safety in the Option-Critic Architecture
  ☆18Updated 5 years ago
• sebascuri / hucrl
  ☆30Updated last year
• ahmed-touati / controllable_agent
  ☆36Updated last year
• cross32768 / PlaNet_PyTorch
  Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch
  ☆44Updated 4 years ago
• tseyde / decqn
  ☆34Updated last year
• wendelinboehmer / dcg
  ☆71Updated 5 months ago
• rahul13ramesh / SuccessorOptions
  Successor Options is an option discovery framework for Reinforcement Learning
  ☆12Updated 5 months ago