alexlioralexli

10-716-project

cmu-vision.github.io

compression

Data compression in TensorFlow

diagnosing_qlearning

Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.

flow-demos

generalized-hindsight

learned-fourier-features

Code for the paper "Functional Regularization for Reinforcement Learning via Learned Fourier Features"

noncontrastive-ssl

Analyzing partial dimensional collapse in non-contrastive self-supervised learning. "Understanding Collapse in Non-Contrastive Siamese Representation Learning." In ECCV, 2022.

rllab-finetuning

diffusion-classifier

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training

alexlioralexli/rllab-finetuning

alexlioralexli/learned-fourier-features

Code for the paper "Functional Regularization for Reinforcement Learning via Learned Fourier Features"

alexlioralexli/noncontrastive-ssl

Analyzing partial dimensional collapse in non-contrastive self-supervised learning. "Understanding Collapse in Non-Contrastive Siamese Representation Learning." In ECCV, 2022.

alexlioralexli/generalized-hindsight

alexlioralexli/flow-demos

alexlioralexli/10-716-project

alexlioralexli/cmu-vision.github.io

alexlioralexli/compression

Data compression in TensorFlow

alexlioralexli/diagnosing_qlearning

Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.

alexlioralexli/dm_control

The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo physics engine.

alexlioralexli/doodad

alexlioralexli/hidden-networks

alexlioralexli/hindsight-experience-replay

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

alexlioralexli/homework

Assignments for CS294-112.

alexlioralexli/models

Models and examples built with TensorFlow

alexlioralexli/mujoco-py-v0.5.7

alexlioralexli/oyster

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

alexlioralexli/papers

alexlioralexli/pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

alexlioralexli/researcher

A jekyll based resume template

alexlioralexli/rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

alexlioralexli/sac

Soft Actor-Critic

alexlioralexli/simsiam

PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

alexlioralexli/tape

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

alexlioralexli/TD3

Author's PyTorch implementation of TD3 for OpenAI gym tasks

alexlioralexli/website