jasonma2016 Goto Github PK

2021

Website for the Offline RL Workshop at NeurIPS 2020.

bcq

PyTorch implementation of BCQ for "Off-Policy Deep Reinforcement Learning without Exploration"

codac

Official repository for paper "Conservative Offline Distributional Reinforcement Learning" (NeurIPS 2021)

conv-social-pooling

Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018

d-eck

A deck of Cards, written in D

dqn-pytorch

DQN to play Atari Pong

embodied-clip

Official codebase for EmbCLIP

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

general_projects

gofar

Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)

human_aware_rl

Code for "On the Utility of Learning about Humans for Human-AI Coordination"

lds

Official repository for paper "Likelihood-Based Diverse Sampling for Trajectory Forecasting" (ICCV 2021)

learn2learn

PyTorch Meta-learning Framework for Researchers

meta-rl-bandits

A simple RNN meta-learner

mj_envs

A collection of MuJoCo based environments.

mjrl

Reinforcement learning algorithms for MuJoCo tasks

mushroom-rl

Python library for Reinforcement Learning experiments.

oyster

Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

rc_rl

reinforcement-learning

Modular implementations of reinforcement learning algorithms with PyTorch

rl

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

rlkit

Collection of reinforcement learning algorithms

robomimic

robomimic: A Modular Framework for Robot Learning from Demonstration

smodice

Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML 2022)

spinningup

An educational resource to help anyone learn deep reinforcement learning.

tensorflow

Computation using data flow graphs for scalable machine learning

website