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.
☆38Updated 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
Sorting:
- Repository for the QDgym code. A framework for Quality Diversity optimization benchmark tasks based OpenAI Gym.☆22Updated 3 years ago
- ☆42Updated 2 years ago
- A collection of RL algorithms written in JAX.☆97Updated 2 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 2 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆36Updated 2 months ago
- Simple maze environments using mujoco-py☆54Updated last year
- Implementation of Diversity Is All You Need (DIAYN) on top of Stable Baselines 3.☆12Updated 2 years ago
- A tool for aggregating and plotting MARL experiment data.☆77Updated 3 months ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆54Updated 2 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- ExORL: Exploratory Data for Offline Reinforcement Learning☆113Updated 3 years ago
- ☆19Updated 3 months ago
- Benchmarking RL generalization in an interpretable way.☆156Updated 2 months ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆41Updated 8 months ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆97Updated 6 months ago
- Official Implementation for Quality-Similar Diversity via Population Based Reinforcement Learning☆17Updated 2 years ago
- Evaluating long-term memory of reinforcement learning algorithms☆142Updated last year
- ☆45Updated last year
- SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning☆14Updated 2 years ago
- Synchronized Curriculum Learning for RL Agents☆45Updated last month
- POPGym Library in JAX☆11Updated last year
- Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite☆38Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆85Updated 3 years ago
- The Starcraft Multi-Agent challenge lite☆42Updated 8 months ago
- ☆31Updated 2 years ago
- Deep Hierarchical Planning from Pixels☆100Updated 2 years ago
- Code for the papers Hypernetworks in Meta-Reinforcement Learning (Beck et al., 2022) and Recurrent Hypernetworks are Surprisingly Strong …☆12Updated 9 months ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆75Updated 2 years ago
- 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
- Goal-Conditioned Reinforcement Learning with JAX☆154Updated this week