karush17 / Deep-Eligibility-Traces
Implementation of Eligibility Traces with Neural Networks in PyTorch and Tensorflow 2.0
☆26Updated 3 years ago
Alternatives and similar repositories for Deep-Eligibility-Traces:
Users that are interested in Deep-Eligibility-Traces are comparing it to the libraries listed below
- A tool for aggregating and plotting MARL experiment data.☆77Updated 3 months ago
- Gridworld domains in the gym interface☆27Updated 6 months ago
- The Starcraft Multi-Agent challenge lite☆42Updated 7 months ago
- COOM: Benchmarking Continual Reinforcement Learning on Doom☆17Updated 2 months ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 2 years ago
- A Simplified Pytorch Version of the Dreamer Algorithm☆126Updated last year
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆47Updated 10 months ago
- Energy-based Surprise Minimization for Multi-Agent Value Factorization☆12Updated last year
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago
- Various reinforcement learning algorithms written in Jax + Flax☆24Updated last year
- JAX implementation of RL algorithms and vectorized environments☆43Updated last year
- Learning Laplacian Representations in Reinforcement Learning☆17Updated 4 years ago
- Fast and flexible multi-agent gridworld reinforcement learning environments.☆43Updated last month
- ☆18Updated 3 months ago
- ☆76Updated last month
- A collection of matrix games in JAX☆10Updated 5 months ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆72Updated 8 months ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆54Updated 2 years ago
- Collection of resources on plasticity loss in deep reinforcement learning☆16Updated 5 months ago
- Pytorch implementation on OpenAI's Procgen ppo-baseline, built from scratch.☆30Updated 4 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆97Updated 6 months ago
- Implementation of HindSight Experience Replay paper with Pytorch☆29Updated 4 years ago
- JAX implementations of various deep reinforcement learning algorithms.☆21Updated 2 months ago
- ☆31Updated 2 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆77Updated last year
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆49Updated this week
- Evaluating long-term memory of reinforcement learning algorithms☆141Updated last year
- ☆31Updated 4 years ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆51Updated 2 years ago
- Official implementation of the δ-model presented in the ICML 2024 paper "A Distributional Analogue to the Successor Representation".☆20Updated 5 months ago