Rishabh Agarwal's repositories
neural_additive_models
Repo for open sourcing the NAMs.
Awesome-LLM-Long-Context-Modeling
📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥
neural-symbolic-machines
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
neural_additive_models-1
stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
off_policy_mujoco
PyTorch implementation of BCQ for "Off-Policy Deep Reinforcement Learning without Exploration"
rl_benchmark_scores
Raw scores for all papers for various benchmarks for reliable evaluation.
google-research
Google Research
auto-drac
Automatic Data-Regularized Actor-Critic (Auto-DrAC)
dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
github-buttons
Showcase the success of any GitHub repo or user with these simple, static buttons with dynamic counts.
gym-minigrid
Minimalistic gridworld package for OpenAI Gym
handful-of-trials
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
interpret
Fit interpretable models. Explain blackbox machine learning.
merl
Meta Reward Learning
netrand
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020
planet
Deep Planning Network: Control from pixels by latent planning with learned dynamics
procgen
Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments
python-bloom-filter
Bloom filter for Python
reincarnating_rl_tmp
Open source code for reusing prior computational work in RL.
shields
Concise, consistent, and legible badges in SVG and raster format
tensorflow-value-iteration-networks
TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper