Alternatives and similar repositories for math_prog_synth_env

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

• alec-tschantz / planet
  PlaNet: Learning Latent Dynamics for Planning from Pixels
  ☆10Updated 5 years ago
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆57Updated 3 years ago
• CannyLab / causal_overhypotheses
  Code for Dataset and Benchmarks Submission, Neurips 2022
  ☆13Updated 3 years ago
• jannerm / gamma-models
  Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
  ☆46Updated 2 years ago
• lmzintgraf / hyperx
  ☆17Updated 3 years ago
• lili-chen / SEER
  Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.
  ☆21Updated 4 years ago
• google-deepmind / affordances_option_models
  ☆22Updated 4 years ago
• ml-jku / helm
  ☆57Updated last year
• jhejna / morphology-opt
  Code for the paper Task Agnostic Morphology Evolution.
  ☆20Updated 4 years ago
• MinRegret / deluca
  Performant, differentiable reinforcement learning
  ☆23Updated 2 years ago
• ElisevanderPol / mdp-homomorphic-networks
  ☆30Updated 4 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated 2 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆17Updated last year
• RedTachyon / coltra-rl
  A modular implementation of PPO, and soon hopefully other algorithms.
  ☆26Updated 2 years ago
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆64Updated 2 years ago
• danijar / diamond_env
  Standardized Minecraft Diamond Environment for Reinforcement Learning
  ☆36Updated 2 years ago
• jcoreyes / evolvingrl
  Supplementary Data for Evolving Reinforcement Learning Algorithms
  ☆47Updated 4 years ago
• mbchang / decentralized-rl
  Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)
  ☆43Updated 3 years ago
• google-deepmind / zipfian_environments
  ☆28Updated 3 years ago
• facebookresearch / icp-block-mdp
  Invariant Causal Prediction for Block MDPs
  ☆44Updated 5 years ago
• mila-iqia / Conscious-Planning
  Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".
  ☆60Updated last year
• Miffyli / policy-supervectors
  Creating fixed-length vectors to describe RL/GA policies
  ☆20Updated 4 years ago
• google-deepmind / dm_construction
  ☆28Updated 5 years ago
• ramp-kits / rl_simulator
  Model-based reinforcement learning (generative simulator models and planning agents)
  ☆16Updated 4 years ago
• tsumers / rewards
  Code and data for Learning Rewards from Linguistic Feedback, AAAI '21
  ☆10Updated 5 years ago
• HumanCompatibleAI / learning_biases
  Infer how suboptimal agents are suboptimal while planning, for example if they are hyperbolic time discounters.
  ☆25Updated 5 years ago
• neale / avoiding-side-effects
  Code for reproducing the results from the paper Avoiding Side Effects in Complex Environments
  ☆12Updated 4 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆57Updated last month
• schroederdewitt / multiagent-particle-envs
  Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
  ☆11Updated 6 years ago