MichalOp / MineRL2020
☆16Updated 3 years ago
Alternatives and similar repositories for MineRL2020:
Users that are interested in MineRL2020 are comparing it to the libraries listed below
- Behavioural cloning solution to MineRL2020 competition☆17Updated 4 years ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆52Updated last year
- Docker containers of baseline agents for the Crafter environment☆28Updated 3 years ago
- Baselines for gymnax 🤖☆66Updated 2 years ago
- ☆28Updated 2 years ago
- Flax Implementation of DreamerV3 on Crafter☆14Updated last month
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆80Updated 2 years ago
- Novelty MiniGrid--NovGrid--is an extension of MiniGrid environment that allows for the world properties and dynamics to change according …☆35Updated 10 months ago
- Accelerated replay buffers in JAX☆41Updated 2 years ago
- General Modules for JAX☆64Updated 2 weeks ago
- A2C is a special case of PPO!☆20Updated 2 years ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆72Updated 8 months ago
- ☆44Updated last year
- Simplistic Pytorch Implementation of the Dreamer-RL☆21Updated 2 years ago
- Scalable Opponent Shaping Experiments in JAX☆24Updated last year
- Rainbow DQN implementation accompanying the paper "Fast and Data-Efficient Training of Rainbow" which reaches 205.7 median HNS after 10M …☆45Updated 3 years ago
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆17Updated 5 months ago
- Vectorization techniques for fast population-based training.☆55Updated 2 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆54Updated 2 years ago
- ☆22Updated 3 weeks ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆9Updated last year
- Reinforcement learning training framework for entity-gym environments.☆17Updated last year
- ☆76Updated last month
- ☆42Updated 2 years ago
- ☆21Updated 4 years ago
- Episodic Control☆19Updated 2 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆45Updated 4 years ago
- 3rd placed submission to the NeurIPS MineRL competition 2019☆10Updated 2 years ago
- A collection of matrix games in JAX☆10Updated 4 months ago