nagisazj Goto Github PK

a3c_continuous

A continuous action space version of A3C LSTM in pytorch plus A3G design

ac-teach

Code for the CoRL 2019 paper AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers

atari-rl

Atari - Deep Reinforcement Learning algorithms in TensorFlow

atten_baselines

b_pref

babyai

BabyAI platform. A testbed for training agents to understand and execute language commands.

backpropamine

Train self-modifying neural networks with neuromodulated plasticity

borel

Official implementation for the paper "Offline Meta RL - Identifiability Challenges and Effective Data Collection Strategies", NeurIPS 2021.

bpref

Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.

c-swm

Contrastive Learning of Structured World Models

cliport

CLIPort: What and Where Pathways for Robotic Manipulation

cmu10703_assignments

Assignments for CMU 10703: Deep Reinforcement Learning and Control

codes

github!

compositional_reinforcement_learning

Deep reinforcement learning-basedskill transfer and composition method

contextwm

Code release for "Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning" (NeurIPS 2023), https://arxiv.org/abs/2305.18499

crl

Automatically Composing Representation Transformations as a Means for Generalization

cup

dads

Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

data-and-algorithms

Solutions and thoughts of Data and Algorithms

decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

deep-metric-learning-baselines

PyTorch Implementation for Deep Metric Learning Pipelines

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-successor-features-for-transfer

A reusable framework for successor features for transfer in deep reinforcement learning using keras.

deep_bisim4control

Learning Invariant Representations for Reinforcement Learning without Reconstruction

deep_rl_for_swarms

deeplearningimplementations

Implementation of recent Deep Learning papers

differentiable-plasticity

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

diffusion_policy

[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion

diffusion_reward

[arXiv'23] Official implementation of the paper "Diffusion Reward: Learning Rewards via Conditional Video Diffusion"

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.