Alternatives and similar repositories for distributional-sr:

Users that are interested in distributional-sr are comparing it to the libraries listed below

• luchris429 / model-free-opponent-shaping
  Code for Model-Free Opponent Shaping (ICML 2022)
  ☆16Updated 2 years ago
• cassidylaidlaw / effective-horizon
  Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"
  ☆42Updated 7 months ago
• Grottoh / Deep-Active-Inference-for-Partially-Observable-MDPs
  ☆24Updated 4 years ago
• FLAIROx / jaxirl
  Contains JAX implementation of algorithms for inverse reinforcement learning
  ☆69Updated 5 months ago
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆138Updated last year
• awjuliani / successor_examples
  Tutorials on learning and using successor representations.
  ☆50Updated 5 years ago
• ucbtns / dai
  🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment
  ☆34Updated 4 years ago
• brownirl / lambda_discrepancy
  Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
  ☆17Updated 3 months ago
• luchris429 / JaxLife
  An Open-Ended Agentic Simulator
  ☆36Updated 5 months 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 …
  ☆34Updated 4 years ago
• sunchipsster1 / ConSpec
  ☆19Updated 9 months ago
• ucl-dark / paired
  PAIRED in PyTorch 🔥
  ☆57Updated last year
• ucl-dark / skillhack
  SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning
  ☆14Updated 2 years ago
• abhisheknaik96 / average-reward-methods
  Accompanying code for "Learning and Planning in Average-Reward Markov Decision Processes"
  ☆14Updated 3 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆85Updated 3 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆80Updated last year
• DramaCow / jaxued
  ☆67Updated 5 months ago
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆53Updated 2 years ago
• markkho / msdm
  Models of Sequential Decision-Making
  ☆45Updated 2 weeks ago
• david-lindner / safe-grid-gym
  A gym interface for AI safety gridworlds created in pycolab.
  ☆17Updated 2 years ago
• ethanluoyc / corax
  Corax: Core RL in JAX
  ☆36Updated 11 months ago
• BerenMillidge / DeepActiveInference
  Code for the paper Deep Active Inference as Variational Policy Gradients.
  ☆23Updated 5 years ago
• ninell-oldenburg / social-contracts
  ☆11Updated 10 months ago
• mklissa / dceo
  Learning diverse options through the Laplacian representation.
  ☆23Updated last year
• lmzintgraf / hyperx
  ☆16Updated 2 years ago
• young-geng / JaxCQL
  Conservative Q learning in Jax
  ☆52Updated last year
• info-structures / ais
  This repository contains the code for RL for POMDPs through learning an Approximate Information State.
  ☆20Updated 3 years ago
• FLAIROx / popjym
  POPGym Library in JAX
  ☆11Updated 9 months ago
• k4ntz / OC_Atari
  Object Centric Atari games
  ☆63Updated this week
• 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 4 years ago