MarcoMeter / endless-memory-gym
Challenging Memory-based Deep Reinforcement Learning Agents
☆97Updated 6 months ago
Alternatives and similar repositories for endless-memory-gym:
Users that are interested in endless-memory-gym are comparing it to the libraries listed below
- Evaluating long-term memory of reinforcement learning algorithms☆142Updated last year
- Benchmarking RL generalization in an interpretable way.☆155Updated last month
- ☆77Updated last month
- Simple single-file baselines for Q-Learning in pure-GPU setting☆159Updated last month
- ExORL: Exploratory Data for Offline Reinforcement Learning☆113Updated 3 years ago
- Unified Implementations of Offline Reinforcement Learning Algorithms☆64Updated last week
- Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023☆19Updated last year
- Deep Hierarchical Planning from Pixels☆100Updated 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
- Repository for the PGA-MAP-Elites algorithm. PGA-MAP-Elites was developed to efficiently scale MAP-Elites to large genotypes and noisy d…☆38Updated 3 years ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆111Updated 8 months ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆91Updated 3 weeks ago
- ☆82Updated 2 months ago
- Prioritized Experience Replay implementation with proportional prioritization☆77Updated last year
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆52Updated last year
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆44Updated this week
- ☆42Updated 2 years ago
- Simple maze environments using mujoco-py☆54Updated last year
- The Starcraft Multi-Agent challenge lite☆42Updated 7 months ago
- Object Centric Atari games☆76Updated this week
- Baselines for gymnax 🤖☆66Updated 2 years ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆70Updated 11 months ago
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning☆92Updated 9 months ago
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆22Updated 2 weeks ago
- Learning diverse options through the Laplacian representation.☆23Updated last year
- Synthetic Experience Replay☆93Updated 11 months ago
- ☆18Updated 3 months ago
- ☆75Updated 6 months ago
- Deep Reinforcement Learning Framework done with PyTorch☆36Updated last month
- A tool for aggregating and plotting MARL experiment data.☆77Updated 3 months ago