Philip J. Ball's repositories
SAC_PyTorch
🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation
ReadyPolicyOne
🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
TD3_PyTorch
♊ Minimal PyTorch Twin Delayed DDPG (TD3) implementation
CFFair_Emulate
⚖️ Emulate the Counterfactual Fairness (2017 Kusner et al.) results in Python
RL_Algorithms
🕹️ A repository containing various PyTorch implementations of salient RL algorithms for training on the Gym environment
ActiveInferenceNotes
🐁 Notes on active inference
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
brax
Massively parallel rigidbody physics simulation on accelerator hardware.
CORL
High-quality single-file implementations of SOTA Offline RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC
DoomOpenAIBaselines
🔫 Using OpenAI baselines to train a VizDoom environment
dotfiles
⚫ My dotfiles repo
ForagingEnv
Makes the foraging environment in OpenAI Gym
GetStarted
🖥️ This is a list for my own use to figure out how to set things up when I use a new computer
gym-vizdoom
Gym wrapper for Vizdoom environments
HackerRank_Solns
Some solutions to HackerRank/Coding Challenges
my_cv
👨 A hacked and slashed Friggieri-style CV
OxThesis
LaTeX template for an Oxford University thesis
philipjball.github.io
🕸️ Personal website
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).
pytorch-soft-actor-critic
PyTorch implementation of soft actor critic
pytorch_sac
PyTorch implementation of Soft Actor-Critic (SAC)
SimCLR
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
vizdoomgym
Vizdoom wrapper for OpenAI gym