ollebompa / PGA-MAP-Elites
Repository for the PGA-MAP-Elites algorithm. PGA-MAP-Elites was developed to efficiently scale MAP-Elites to large genotypes and noisy domains. It uses Neuroevolution driven by a Genetic Algorithm (GA) coupled with Policy Gradients (PG) derived from an off-policy Deep Reinforcement Learning method.
☆36Updated 3 years ago
Alternatives and similar repositories for PGA-MAP-Elites:
Users that are interested in PGA-MAP-Elites are comparing it to the libraries listed below
- Repository for the QDgym code. A framework for Quality Diversity optimization benchmark tasks based OpenAI Gym.☆22Updated 3 years ago
- ☆41Updated last year
- Challenging Memory-based Deep Reinforcement Learning Agents☆93Updated 4 months ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆101Updated 2 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆33Updated this week
- Learning diverse options through the Laplacian representation.☆23Updated last year
- Official Implementation for Quality-Similar Diversity via Population Based Reinforcement Learning☆17Updated last year
- SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning☆14Updated 2 years ago
- Baselines for gymnax 🤖☆65Updated last year
- Implementation of Diversity Is All You Need (DIAYN) on top of Stable Baselines 3.☆12Updated 2 years ago
- Evaluating long-term memory of reinforcement learning algorithms☆140Updated last year
- Benchmarking RL generalization in an interpretable way.☆144Updated 3 weeks ago
- Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"☆22Updated last year
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- ☆42Updated last year
- Novelty MiniGrid--NovGrid--is an extension of MiniGrid environment that allows for the world properties and dynamics to change according …☆35Updated 9 months ago
- Simple maze environments using mujoco-py☆54Updated last year
- ☆73Updated 4 months ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆53Updated 2 years ago
- Synchronized Curriculum Learning for RL Agents☆41Updated last week
- ☆18Updated last month
- Vectorization techniques for fast population-based training.☆55Updated 2 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆44Updated 4 years ago
- HPO and Architecture Benchmarking for RL: Dynamically, Reactive and Efficient☆20Updated last week
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆79Updated last year
- Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite☆35Updated 2 years ago
- A tool for aggregating and plotting MARL experiment data.☆71Updated last month
- ExORL: Exploratory Data for Offline Reinforcement Learning☆108Updated 3 years ago
- ☆40Updated 3 years ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆48Updated 2 years ago