mkschleg / GVFNLinks
☆10Updated 4 years ago
Alternatives and similar repositories for GVFN
Users that are interested in GVFN are comparing it to the libraries listed below
Sorting:
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- ☆11Updated 5 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆86Updated 5 years ago
- Hindsight policy gradients☆45Updated 5 years ago
- ☆31Updated 5 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 5 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆46Updated last year
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆86Updated 4 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- ☆23Updated 3 years ago
- This repository contains the code used in the paper Evaluating the Performance of Reinformcent Learning Algorithms☆27Updated 3 years ago
- Vectorization techniques for fast population-based training.☆56Updated 2 years ago
- ☆30Updated last year
- ☆43Updated 8 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆56Updated 2 years ago
- krazy grid world☆25Updated 5 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Learning Laplacian Representations in Reinforcement Learning☆16Updated 4 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- Hierarchical Self-Play☆21Updated 6 years ago
- A curated list of reinforcement learning environments and frameworks.☆51Updated 6 years ago
- Code for 'The Grand Atari Challenge dataset' paper☆53Updated 7 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 7 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆62Updated last year