dibyaghosh

icvf_release

Public code for "Reinforcement Learning from Passive Data via Latent Intentions"

gcsl

Code for "Learning to Reach Goals via Iterated Supervised Learning"

jaxrl_m

Skeleton for scalable and flexible Jax RL implementations

autogit

Python library for creating periodic git backups of your codebase (e.g. right before launching an experiment).

remote_gym

codesave

Easy way to save codebases (for later loading!)

dibyaghosh.github.io

A staging area for potential websites

epistemic_pomdp

Repository for the NeurIPS 2021 paper: "Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability

config_spec

A small library to help create JSON-serializable configs for functions and classes

jaxamine

Basically the Dopamine RL library, but without any TF references

jaxrl

offline_procgen

offlinerl_adaptation

rlutil

Custom version of justinjfu/rlutil

rtx_viz

bairblog.github.io

blog

variationalbay.es

coinrun

d4rl

A benchmark for offline reinforcement learning.

doodad

flax_model

google-research

Google Research

level-replay

This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the fact that not all levels are equally useful for agents to learn from during training.

octo-anonymous

Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.

ppo-ensemble-2

pretrained_vision

Utilities for converting pretrained checkpoints to jaxrl_m compatible format

procgen

Procgen Benchmark: Procedurally Generated Game-Like Gym Environments

testtt

testtt22

tpu_utils