yfletberliac / adversarially-guided-actor-critic

Related projects ⓘ

Alternatives and complementary repositories for adversarially-guided-actor-critic

• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆83Updated 3 years ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆25Updated last year
• deep-skill-chaining / deep-skill-chaining
  Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"
  ☆28Updated 5 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆31Updated 4 years ago
• kkhetarpal / ioc
  Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020
  ☆25Updated 4 years ago
• google-deepmind / active_ops
  ☆30Updated 3 months ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆73Updated 3 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 5 years ago
• younggyoseo / RE3
  RE3: State Entropy Maximization with Random Encoders for Efficient Exploration
  ☆65Updated 3 years ago
• johnlime / RlkitExtension
  Collection of reinforcement learning algorithms
  ☆15Updated 2 years ago
• kngwyu / Rainy
  Deep RL agents with PyTorch
  ☆35Updated 3 years ago
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆49Updated 2 years ago
• kzl / lifelong_rl
  Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…
  ☆98Updated 2 years ago
• victorcampos7 / edl
  Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"
  ☆36Updated 4 years ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆104Updated 2 years ago
• siekmanj / r2l
  Recurrent continuous reinforcement learning algorithms implemented in Pytorch.
  ☆50Updated 3 years ago
• louiskirsch / metagenrl
  MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…
  ☆66Updated 4 years ago
• dannysdeng / dqn-pytorch
  PyTorch - Implicit Quantile Networks - Quantile Regression - C51
  ☆23Updated 5 years ago
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆66Updated 5 years ago
• yusukeurakami / plan2explore-pytorch
  ☆41Updated 3 years ago
• johannah / bootstrap_dqn
  Implementation of Bootstrap DQN and Randomized Prior Functions on ALE
  ☆53Updated 5 years ago
• evgenii-nikishin / rl_with_resets
  JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
  ☆98Updated 2 years ago
• geyang / e-maml
  E-MAML, and RL-MAML baseline implemented in Tensorflow v1
  ☆15Updated 4 years ago
• flowersteam / TeachMyAgent
  TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.
  ☆66Updated 11 months ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆35Updated last week
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 3 years ago
• mcmachado / count_based_exploration_sr
  ☆30Updated 5 years ago
• hiwonjoon / ICML2019-TREX
  ☆81Updated 3 years ago
• pokaxpoka / rad_procgen
  RAD: Reinforcement Learning with Augmented Data (code for procgen experiments)
  ☆18Updated 3 years ago
• rraileanu / auto-drac
  Automatic Data-Regularized Actor-Critic (Auto-DrAC)
  ☆101Updated last year