djbyrne / core_rl
Repo of core reinforcement learning algorithms and explanations using pytorch lightning
☆8Updated 4 years ago
Alternatives and similar repositories for core_rl:
Users that are interested in core_rl are comparing it to the libraries listed below
- A list of papers regarding generalization in (deep) reinforcement learning☆150Updated last year
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆165Updated last month
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆186Updated last year
- Benchmarking RL generalization in an interpretable way.☆142Updated last week
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆56Updated 4 years ago
- Lightweight multi-agent gridworld Gym environment☆201Updated last year
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆158Updated 3 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆94Updated 3 years ago
- PAIRED in PyTorch 🔥☆58Updated last year
- ☆121Updated 6 months ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆193Updated 2 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆136Updated last year
- Gridworld for MARL experiments☆138Updated 4 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆123Updated 3 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆90Updated 5 months ago
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆92Updated 4 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆32Updated this week
- A curated list of reinforcement learning environments and frameworks.☆50Updated 5 years ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆68Updated last year
- Series of deep reinforcement learning algorithms 🤖☆29Updated 3 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆102Updated 2 years ago
- Implementation of Trajectory Transformer with attention caching and batched beam search☆109Updated last year
- Prioritized Experience Replay implementation with proportional prioritization☆76Updated last year
- (NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation☆211Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆169Updated 6 months ago
- A collection of RL algorithms written in JAX.☆95Updated 2 years ago
- ☆100Updated last year
- Revisiting Rainbow☆74Updated 3 years ago
- TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Ope…☆42Updated 2 years ago