HumanCompatibleAI / interpreting-rewardsLinks
Experiments in applying interpretability techniques to learned reward functions.
☆10Updated 5 years ago
Alternatives and similar repositories for interpreting-rewards
Users that are interested in interpreting-rewards are comparing it to the libraries listed below
Sorting:
- Reward Learning by Simulating the Past☆46Updated 6 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆64Updated 2 years ago
- ☆31Updated 7 years ago
- krazy grid world☆25Updated 5 years ago
- This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.☆33Updated 6 years ago
- Neurosymbolic transformers for multi-agent communication.☆22Updated 5 years ago
- Library to compare and evaluate reward functions☆67Updated 2 years ago
- Infer how suboptimal agents are suboptimal while planning, for example if they are hyperbolic time discounters.☆25Updated 5 years ago
- Reinforcement learning algorithms☆41Updated 6 years ago
- AGAC: Adversarially Guided Actor-Critic☆47Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- ☆28Updated 3 years ago
- ☆80Updated 2 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 7 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 7 years ago
- Benchmark environments for reward modelling and imitation learning algorithms.☆46Updated 2 years ago
- Code for human intervention reinforcement learning☆35Updated 8 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆103Updated 2 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- hierarchical deep reinforcement learning algorithms☆43Updated 8 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆51Updated 7 years ago
- Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)☆77Updated 6 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆78Updated 5 years ago
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆80Updated 2 years ago
- PyTorch code to train and evaluate Procgen tasks☆25Updated 5 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆30Updated 6 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Bayesian Reward Shaping Framework for Deep Reinforcement Learning☆25Updated 6 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 6 years ago
- On the pitfalls of measuring emergent communication☆34Updated 6 years ago