evgenii-nikishin / rl_with_resetsLinks
JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
☆103Updated 3 years ago
Alternatives and similar repositories for rl_with_resets
Users that are interested in rl_with_resets are comparing it to the libraries listed below
Sorting:
- ExORL: Exploratory Data for Offline Reinforcement Learning☆118Updated 3 years ago
- ☆52Updated 2 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆82Updated 2 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- Simple maze environments using mujoco-py☆57Updated last year
- ☆114Updated 2 years ago
- ☆54Updated last year
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 5 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆167Updated 10 months ago
- Evaluating long-term memory of reinforcement learning algorithms☆154Updated 2 years ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)☆127Updated last year
- ☆51Updated 2 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆190Updated 3 years ago
- Benchmarking RL generalization in an interpretable way.☆169Updated 2 weeks ago
- Model-Based Offline Reinforcement Learning☆51Updated 4 years ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆78Updated 3 years ago
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated 2 years ago
- ☆46Updated 2 weeks ago
- Deep Hierarchical Planning from Pixels☆110Updated 2 years ago
- CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery☆82Updated 3 years ago
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆50Updated last year
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆68Updated last year
- Conservative Q learning in Jax☆56Updated 2 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆152Updated 4 years ago
- Proto-RL: Reinforcement Learning with Prototypical Representations☆85Updated 3 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆59Updated 3 years ago
- Learning Laplacian Representations in Reinforcement Learning☆18Updated 4 years ago
- ☆31Updated 2 years ago