SSubhnil
PhD candidate at Trinity College Dublin, Ireland. I work on RL, causality, latent variables and multi-agent systems.
Trinity College DublinDublin, Ireland
SSubhnil's Stars
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
SakanaAI/AI-Scientist
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
kzl/decision-transformer
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
danijar/dreamerv3
Mastering Diverse Domains through World Models
ARISE-Initiative/robosuite
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
openai/procgen
Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments
opendilab/awesome-model-based-RL
A curated list of awesome model based RL resources (continually updated)
Farama-Foundation/Gymnasium-Robotics
A collection of robotics simulation environments for reinforcement learning
NM512/dreamerv3-torch
Implementation of Dreamer v3 in pytorch.
rll-research/url_benchmark
ramanans1/plan2explore
Repository for the paper "Planning to Explore via Self-Supervised World Models"
rr-learning/CausalWorld
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
msinto93/D4PG
Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym environments.
younggyoseo/MWM
Masked World Models for Visual Control
Valentyn1997/CausalTransformer
Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
spitis/mrl
lucaslingle/pytorch_rl2
Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'
kvfrans/fre
Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
seohongpark/METRA
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
weipu-zhang/STORM
familyld/Awesome-Causal-RL
A curated list of causal reinforcement learning resources.
younggyoseo/trajectory_mcl
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)
sumedh7/CausalCuriosity
Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML 2021.
wangzizhao/CausalDynamicsLearning
Shengjiewang-Jason/EfficientZeroV2
[ICML 2024, Spotlight] EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data
zoharri/mamba
Meta-RL Model-Based Algorithm
changchencc/TransDreamer
Code for TRANSDREAMER: REINFORCEMENT LEARNING WITH TRANSFORMER WORLD MODELS
spitis/mocoda
iwhwang/Fine-Grained-Causal-RL
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning (ICML 2024)
ZifanWu/Plan-to-Predict
Code accompanying paper "Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning".