Bam4d / Neural-Game-Engine

Related projects ⓘ

Alternatives and complementary repositories for Neural-Game-Engine

• pathak22 / modular-assemblies
  [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"
  ☆112Updated 4 years ago
• facebookresearch / impact-driven-exploration
  impact-driven-exploration
  ☆128Updated last year
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆61Updated last year
• Feryal / craft-env
  ☆44Updated 5 years ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆86Updated 5 years ago
• sebastianrisi / ga-world-models
  ☆20Updated 5 years ago
• WendyShang / flare
  Reinforcement Learning with Latent Flow
  ☆43Updated 3 years ago
• hardmaru / RainbowSlimeVolley
  Using Rainbow implementation in Chainer RL for Slime Volleyball Pixel Environment
  ☆23Updated 4 years ago
• wassname / world-models-sonic-pytorch
  Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more w…
  ☆31Updated 6 years ago
• google-deepmind / dm_hard_eight
  ☆85Updated 4 years ago
• hardmaru / astool
  Augmented environments with RL
  ☆102Updated 5 years ago
• google-deepmind / dm_fast_mapping
  ☆54Updated 3 years ago
• hardmaru / rlzoo
  fork of rl-baseline-zoo
  ☆21Updated 4 years ago
• icaros-usc / dqd
  A python implementation of differentiable quality diversity.
  ☆48Updated 3 years ago
• pathak22 / exploration-by-disagreement
  [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
  ☆123Updated 5 years ago
• HumanCompatibleAI / rlsp
  Reward Learning by Simulating the Past
  ☆43Updated 5 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 3 years ago
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated last year
• hellochick / FICM
  [IJCAI'20][ICLR'19 Workshop] Flow-based Intrinsic Curiosity Module. Playing SuperMario with RL agent and FICM!
  ☆102Updated last year
• HumanCompatibleAI / deep-rlsp
  Code accompanying "Learning What To Do by Simulating the Past", ICLR 2021.
  ☆26Updated 3 years ago
• hegde95 / Agents_that_Listen
  Train an agent to play VizDoom with multi sensory inputs. Trained using sample factory
  ☆14Updated 3 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆78Updated last year
• zuoxingdong / dm2gym
  Convert DeepMind Control Suite to OpenAI gym environments.
  ☆83Updated 4 years ago
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆76Updated 5 years ago
• BY571 / Upside-Down-Reinforcement-Learning
  Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
  ☆76Updated 4 years ago
• ctallec / continuous-rl
  ☆19Updated 5 years ago
• Caselles / NeurIPS19-SBDRL
  Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…
  ☆35Updated 4 years ago
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆54Updated 2 years ago
• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆94Updated 4 years ago
• google-deepmind / zipfian_environments
  ☆28Updated 2 years ago