Alternatives and similar repositories for jelly-bean-world

Users that are interested in jelly-bean-world are comparing it to the libraries listed below

• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆63Updated last year
• henry-prior / jax-rl
  JAX implementations of core Deep RL algorithms
  ☆81Updated 3 years ago
• google-deepmind / dm_hard_eight
  ☆84Updated 4 years ago
• ucl-dark / paired
  PAIRED in PyTorch 🔥
  ☆62Updated 2 years ago
• facebookresearch / impact-driven-exploration
  impact-driven-exploration
  ☆131Updated last year
• rddy / ReQueST
  Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"
  ☆84Updated 5 years ago
• ethanluoyc / magi
  Reinforcement learning library in JAX.
  ☆100Updated last year
• google-deepmind / dm_fast_mapping
  ☆54Updated 3 years ago
• HumanCompatibleAI / evaluating-rewards
  Library to compare and evaluate reward functions
  ☆67Updated last year
• kkhetarpal / ioc
  Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020
  ☆25Updated 5 years ago
• minqi / wordcraft
  An environment for benchmarking commonsense agents
  ☆29Updated 4 years ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆87Updated 6 years ago
• mdcrosby / animal-ai
  Animal-AI 3
  ☆65Updated 2 years ago
• google-research / world_models
  ☆123Updated 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 …
  ☆88Updated 4 years ago
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆58Updated 3 years ago
• machelreid / can-wikipedia-help-offline-rl
  Official code for "Can Wikipedia Help Offline Reinforcement Learning?" by Machel Reid, Yutaro Yamada and Shixiang Shane Gu
  ☆105Updated 3 years ago
• chandar-lab / RLHive
  ☆102Updated last year
• AmiiThinks / AlphaEx
  A Python Toolkit for Managing a Large Number of Experiments
  ☆32Updated last year
• danijar / ninjax
  General Modules for JAX
  ☆67Updated 4 months ago
• microsoft / wmg_agent
  WMG agent
  ☆35Updated last year
• bstadie / krazyworld
  krazy grid world
  ☆25Updated 5 years ago
• abhisheknaik96 / average-reward-methods
  Accompanying code for "Learning and Planning in Average-Reward Markov Decision Processes"
  ☆14Updated 4 years ago
• google-research / rl-reliability-metrics
  The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …
  ☆165Updated 2 years ago
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆77Updated 5 years ago
• flowersteam / teachDeepRL
  ☆87Updated 4 years ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆102Updated 3 years ago
• justinjfu / doodad
  A job launching library for docker, EC2, GCP, etc.
  ☆57Updated 4 years ago
• awjuliani / successor_examples
  Tutorials on learning and using successor representations.
  ☆52Updated 5 years ago
• Hwhitetooth / jax_muzero
  An implementation of MuZero in JAX.
  ☆56Updated 2 years ago